quantrs2-core 0.1.3

//! Enhanced Quantum Sensor Networks with Advanced Distributed Sensing
//!
//! This module provides a comprehensive implementation of quantum sensor networks
//! with advanced distributed sensing capabilities, featuring quantum-enhanced
//! precision, entanglement-based sensing, and sophisticated data fusion algorithms.

use crate::error::QuantRS2Error;
use crate::quantum_internet::{QuantumInternet, QuantumLink};
use crate::realtime_monitoring::{RealtimeMonitor, MetricMeasurement};

use async_trait::async_trait;
use chrono::{DateTime, Duration as ChronoDuration, Utc};
use scirs2_core::Complex64;
use serde::{Deserialize, Serialize};
use std::collections::{HashMap, VecDeque, BTreeMap, HashSet};
use std::sync::{Arc, Mutex, RwLock};
use std::time::{Duration, Instant};
use thiserror::Error;
use tokio::sync::{mpsc, broadcast, Semaphore};
use uuid::Uuid;

/// Enhanced quantum sensor network error types
#[derive(Error, Debug)]
pub enum QuantumSensorNetworkError {
    #[error("Sensor configuration failed: {0}")]
    SensorConfigurationFailed(String),
    #[error("Distributed sensing protocol failed: {0}")]
    DistributedSensingFailed(String),
    #[error("Sensor fusion failed: {0}")]
    SensorFusionFailed(String),
    #[error("Quantum entanglement distribution failed: {0}")]
    EntanglementDistributionFailed(String),
    #[error("Environmental adaptation failed: {0}")]
    EnvironmentalAdaptationFailed(String),
    #[error("Precision optimization failed: {0}")]
    PrecisionOptimizationFailed(String),
}

type Result<T> = std::result::Result<T, QuantumSensorNetworkError>;

/// Enhanced quantum sensor network with advanced distributed sensing
#[derive(Debug)]
pub struct EnhancedQuantumSensorNetwork {
    /// Network identifier
    pub network_id: Uuid,
    /// Advanced quantum sensors
    pub quantum_sensors: HashMap<SensorId, AdvancedQuantumSensor>,
    /// Distributed sensing coordinator
    pub sensing_coordinator: Arc<DistributedSensingCoordinator>,
    /// Sensor fusion engine
    pub fusion_engine: Arc<QuantumSensorFusionEngine>,
    /// Entanglement distribution manager
    pub entanglement_manager: Arc<SensorEntanglementManager>,
    /// Environmental adaptation system
    pub adaptation_system: Arc<EnvironmentalAdaptationSystem>,
    /// Precision optimization engine
    pub precision_optimizer: Arc<PrecisionOptimizationEngine>,
    /// Real-time data processor
    pub data_processor: Arc<RealtimeDataProcessor>,
    /// Network performance monitor
    pub performance_monitor: Arc<SensorNetworkMonitor>,
    /// Global coordination hub
    pub global_coordinator: Arc<GlobalSensorCoordinator>,
}

/// Advanced quantum sensor with enhanced capabilities
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct AdvancedQuantumSensor {
    /// Sensor identifier
    pub sensor_id: SensorId,
    /// Sensor type and capabilities
    pub sensor_type: AdvancedSensorType,
    /// Geographic location
    pub location: GeographicLocation,
    /// Current sensor state
    pub sensor_state: SensorState,
    /// Quantum sensing parameters
    pub quantum_parameters: QuantumSensingParameters,
    /// Performance metrics
    pub performance_metrics: SensorPerformanceMetrics,
    /// Entanglement connections
    pub entanglement_connections: Vec<EntanglementConnection>,
    /// Environmental adaptation state
    pub adaptation_state: AdaptationState,
    /// Calibration data
    pub calibration_data: CalibrationData,
}

/// Sensor identifier
pub type SensorId = Uuid;

/// Advanced sensor types with quantum advantages
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum AdvancedSensorType {
    /// Quantum gravimeter for gravitational field sensing
    QuantumGravimeter {
        sensitivity: f64,                    // in μGal (10⁻⁸ m/s²)
        measurement_range: f64,              // in mGal
        spatial_resolution: f64,             // in meters
        quantum_advantage_factor: f64,       // improvement over classical
    },
    /// Quantum magnetometer for magnetic field sensing
    QuantumMagnetometer {
        sensitivity: f64,                    // in fT (femtotesla)
        measurement_range: f64,              // in nT
        vector_capability: bool,             // can measure field direction
        quantum_advantage_factor: f64,
    },
    /// Atomic clock for precision timing
    AtomicClock {
        stability: f64,                      // Allan deviation at 1s
        accuracy: f64,                       // frequency accuracy
        drift_rate: f64,                     // frequency drift per day
        quantum_advantage_factor: f64,
    },
    /// Quantum accelerometer for motion sensing
    QuantumAccelerometer {
        sensitivity: f64,                    // in μg (micro-g)
        bandwidth: f64,                      // in Hz
        bias_stability: f64,                 // in μg/√Hz
        quantum_advantage_factor: f64,
    },
    /// Quantum rotation sensor (gyroscope)
    QuantumGyroscope {
        sensitivity: f64,                    // in μrad/s
        bias_stability: f64,                 // in deg/hr
        scale_factor_stability: f64,         // in ppm
        quantum_advantage_factor: f64,
    },
    /// Environmental quantum sensor
    EnvironmentalSensor {
        parameters_measured: Vec<EnvironmentalParameter>,
        sensitivity_map: HashMap<EnvironmentalParameter, f64>,
        quantum_advantage_factor: f64,
    },
    /// Quantum strain sensor for deformation detection
    QuantumStrainSensor {
        strain_sensitivity: f64,             // in nε (nanostrain)
        frequency_response: f64,             // in Hz
        spatial_resolution: f64,             // in mm
        quantum_advantage_factor: f64,
    },
    /// Quantum chemical sensor
    QuantumChemicalSensor {
        detectable_species: Vec<ChemicalSpecies>,
        detection_limits: HashMap<ChemicalSpecies, f64>,
        selectivity_factors: HashMap<ChemicalSpecies, f64>,
        quantum_advantage_factor: f64,
    },
}

/// Environmental parameters for sensing
#[derive(Debug, Clone, Hash, PartialEq, Eq, Serialize, Deserialize)]
pub enum EnvironmentalParameter {
    Temperature,
    Pressure,
    Humidity,
    ElectricField,
    SeismicActivity,
    AcousticWaves,
    ElectromagneticRadiation,
    ParticleFlux,
    AtmosphericComposition,
    OceanCurrents,
}

/// Chemical species for quantum chemical sensing
#[derive(Debug, Clone, Hash, PartialEq, Eq, Serialize, Deserialize)]
pub enum ChemicalSpecies {
    CO2,
    CH4,
    NO2,
    O3,
    H2O,
    NH3,
    SO2,
    VOCs,
    Heavy(String),    // Heavy metals with specific name
    Organic(String),  // Organic compounds with specific name
}

/// Geographic location with enhanced precision
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct GeographicLocation {
    /// Latitude in degrees
    pub latitude: f64,
    /// Longitude in degrees
    pub longitude: f64,
    /// Altitude in meters above sea level
    pub altitude: f64,
    /// Location uncertainty in meters
    pub uncertainty: f64,
    /// Reference coordinate system
    pub reference_system: String,
    /// Time of location measurement
    pub timestamp: DateTime<Utc>,
}

/// Sensor operational state
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum SensorState {
    Initializing,
    Calibrating,
    Operational,
    Degraded,
    Maintenance,
    Failed,
    Offline,
}

/// Quantum sensing parameters
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct QuantumSensingParameters {
    /// Number of qubits used in sensing
    pub qubit_count: usize,
    /// Entanglement fidelity
    pub entanglement_fidelity: f64,
    /// Coherence time in microseconds
    pub coherence_time: f64,
    /// Quantum sensing protocol
    pub sensing_protocol: SensingProtocol,
    /// Shot noise limit improvement
    pub shot_noise_improvement: f64,
    /// Quantum Fisher information
    pub quantum_fisher_information: f64,
    /// Heisenberg scaling factor
    pub heisenberg_scaling: f64,
}

/// Quantum sensing protocols
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum SensingProtocol {
    /// Ramsey interferometry for phase sensing
    RamseyInterferometry {
        interrogation_time: f64,
        contrast: f64,
        phase_resolution: f64,
    },
    /// Spin squeezing for enhanced sensitivity
    SpinSqueezing {
        squeezing_parameter: f64,
        atom_number: usize,
        improvement_factor: f64,
    },
    /// GHZ states for quantum metrology
    GHZMetrology {
        entangled_atoms: usize,
        sensitivity_scaling: f64,
        decoherence_resilience: f64,
    },
    /// Quantum error correction enhanced sensing
    ErrorCorrectedSensing {
        logical_qubits: usize,
        error_threshold: f64,
        sensing_improvement: f64,
    },
    /// Adaptive sensing with feedback
    AdaptiveSensing {
        adaptation_rate: f64,
        feedback_delay: f64,
        optimization_target: String,
    },
}

/// Sensor performance metrics
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct SensorPerformanceMetrics {
    /// Current measurement precision
    pub measurement_precision: f64,
    /// Signal-to-noise ratio
    pub signal_to_noise_ratio: f64,
    /// Measurement rate (Hz)
    pub measurement_rate: f64,
    /// Uptime percentage
    pub uptime: f64,
    /// Quantum advantage achieved
    pub quantum_advantage: f64,
    /// Error rate
    pub error_rate: f64,
    /// Stability over time
    pub stability: f64,
    /// Energy consumption (watts)
    pub power_consumption: f64,
}

/// Entanglement connection between sensors
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct EntanglementConnection {
    /// Connected sensor ID
    pub partner_sensor_id: SensorId,
    /// Entanglement fidelity
    pub fidelity: f64,
    /// Connection strength
    pub strength: f64,
    /// Established timestamp
    pub established_at: DateTime<Utc>,
    /// Connection type
    pub connection_type: EntanglementType,
    /// Distance between sensors
    pub distance: f64,
}

/// Types of entanglement connections
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum EntanglementType {
    /// Direct quantum link
    DirectQuantumLink,
    /// Satellite-mediated entanglement
    SatelliteMediated,
    /// Fiber-optic quantum channel
    FiberOpticChannel,
    /// Free-space quantum communication
    FreeSpaceQuantum,
    /// Quantum repeater network
    RepeaterNetwork,
}

/// Environmental adaptation state
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct AdaptationState {
    /// Current environmental conditions
    pub current_conditions: HashMap<EnvironmentalParameter, f64>,
    /// Adaptation parameters
    pub adaptation_parameters: HashMap<String, f64>,
    /// Adaptation history
    pub adaptation_history: Vec<AdaptationEvent>,
    /// Prediction model state
    pub prediction_state: PredictionModelState,
}

/// Adaptation event record
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct AdaptationEvent {
    /// Event timestamp
    pub timestamp: DateTime<Utc>,
    /// Trigger condition
    pub trigger: String,
    /// Adaptation action taken
    pub action: String,
    /// Result quality
    pub result_quality: f64,
}

/// Prediction model state
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PredictionModelState {
    /// Model parameters
    pub model_parameters: Vec<f64>,
    /// Prediction accuracy
    pub accuracy: f64,
    /// Last update time
    pub last_updated: DateTime<Utc>,
    /// Training data size
    pub training_data_size: usize,
}

/// Sensor calibration data
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct CalibrationData {
    /// Calibration coefficients
    pub coefficients: Vec<f64>,
    /// Calibration timestamp
    pub calibrated_at: DateTime<Utc>,
    /// Calibration validity period
    pub validity_period: Duration,
    /// Calibration accuracy
    pub accuracy: f64,
    /// Reference standards used
    pub reference_standards: Vec<String>,
}

/// Distributed sensing coordinator
#[derive(Debug)]
pub struct DistributedSensingCoordinator {
    /// Active sensing campaigns
    pub active_campaigns: Arc<RwLock<HashMap<CampaignId, SensingCampaign>>>,
    /// Protocol optimizer
    pub protocol_optimizer: Arc<ProtocolOptimizer>,
    /// Resource allocator
    pub resource_allocator: Arc<SensingResourceAllocator>,
    /// Communication manager
    pub communication_manager: Arc<SensingCommunicationManager>,
    /// Synchronization controller
    pub sync_controller: Arc<SynchronizationController>,
}

/// Sensing campaign identifier
pub type CampaignId = Uuid;

/// Distributed sensing campaign
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct SensingCampaign {
    /// Campaign identifier
    pub campaign_id: CampaignId,
    /// Campaign name and description
    pub name: String,
    pub description: String,
    /// Participating sensors
    pub participating_sensors: Vec<SensorId>,
    /// Sensing objectives
    pub objectives: Vec<SensingObjective>,
    /// Campaign parameters
    pub parameters: CampaignParameters,
    /// Current status
    pub status: CampaignStatus,
    /// Start and end times
    pub start_time: DateTime<Utc>,
    pub end_time: Option<DateTime<Utc>>,
    /// Results and data
    pub results: CampaignResults,
}

/// Sensing objective definition
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct SensingObjective {
    /// Objective type
    pub objective_type: ObjectiveType,
    /// Target precision
    pub target_precision: f64,
    /// Spatial resolution requirements
    pub spatial_resolution: f64,
    /// Temporal resolution requirements
    pub temporal_resolution: f64,
    /// Priority level
    pub priority: Priority,
    /// Success criteria
    pub success_criteria: SuccessCriteria,
}

/// Types of sensing objectives
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum ObjectiveType {
    /// Monitor specific environmental parameters
    EnvironmentalMonitoring {
        parameters: Vec<EnvironmentalParameter>,
        thresholds: HashMap<EnvironmentalParameter, f64>,
    },
    /// Detect and track specific events
    EventDetection {
        event_types: Vec<String>,
        detection_sensitivity: f64,
    },
    /// Map spatial variations
    SpatialMapping {
        mapping_parameters: Vec<String>,
        resolution_requirements: f64,
    },
    /// Precision metrology
    PrecisionMetrology {
        measured_quantity: String,
        target_uncertainty: f64,
    },
    /// Anomaly detection
    AnomalyDetection {
        baseline_parameters: HashMap<String, f64>,
        anomaly_threshold: f64,
    },
}

/// Priority levels
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum Priority {
    Critical,
    High,
    Medium,
    Low,
    Background,
}

/// Success criteria for objectives
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct SuccessCriteria {
    /// Minimum precision achievement
    pub min_precision: f64,
    /// Maximum time allowance
    pub max_time: Duration,
    /// Minimum confidence level
    pub min_confidence: f64,
    /// Required data completeness
    pub data_completeness: f64,
}

/// Campaign parameters
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct CampaignParameters {
    /// Sensing frequency
    pub sensing_frequency: f64,
    /// Coordination protocol
    pub coordination_protocol: CoordinationProtocol,
    /// Data fusion strategy
    pub fusion_strategy: FusionStrategy,
    /// Quality assurance parameters
    pub quality_assurance: QualityAssuranceParameters,
    /// Resource allocation weights
    pub resource_weights: ResourceWeights,
}

/// Coordination protocols for distributed sensing
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum CoordinationProtocol {
    /// Centralized coordination
    Centralized {
        coordinator_id: SensorId,
        update_frequency: f64,
    },
    /// Distributed consensus
    DistributedConsensus {
        consensus_algorithm: String,
        agreement_threshold: f64,
    },
    /// Hierarchical coordination
    Hierarchical {
        hierarchy_levels: usize,
        cluster_size: usize,
    },
    /// Adaptive coordination
    Adaptive {
        adaptation_rules: Vec<String>,
        optimization_target: String,
    },
}

/// Data fusion strategies
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum FusionStrategy {
    /// Weighted average fusion
    WeightedAverage {
        weight_calculation: String,
        uncertainty_handling: String,
    },
    /// Kalman filter fusion
    KalmanFilter {
        process_noise: f64,
        measurement_noise: f64,
    },
    /// Bayesian fusion
    BayesianFusion {
        prior_parameters: Vec<f64>,
        likelihood_model: String,
    },
    /// Machine learning fusion
    MLFusion {
        model_type: String,
        training_parameters: HashMap<String, f64>,
    },
    /// Quantum optimal fusion
    QuantumOptimalFusion {
        quantum_fisher_optimization: bool,
        entanglement_utilization: f64,
    },
}

/// Quality assurance parameters
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct QualityAssuranceParameters {
    /// Data validation rules
    pub validation_rules: Vec<String>,
    /// Outlier detection sensitivity
    pub outlier_threshold: f64,
    /// Cross-validation requirements
    pub cross_validation: bool,
    /// Redundancy requirements
    pub redundancy_level: f64,
    /// Error correction capabilities
    pub error_correction: bool,
}

/// Resource allocation weights
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ResourceWeights {
    /// Precision importance
    pub precision_weight: f64,
    /// Speed importance
    pub speed_weight: f64,
    /// Energy efficiency importance
    pub energy_weight: f64,
    /// Reliability importance
    pub reliability_weight: f64,
    /// Cost importance
    pub cost_weight: f64,
}

/// Campaign status
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum CampaignStatus {
    Planning,
    Initializing,
    Active,
    Paused,
    Completing,
    Completed,
    Failed,
    Cancelled,
}

/// Campaign results
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct CampaignResults {
    /// Collected measurements
    pub measurements: Vec<SensingMeasurement>,
    /// Fused data products
    pub fused_data: Vec<FusedDataProduct>,
    /// Performance statistics
    pub performance_stats: CampaignPerformanceStats,
    /// Quality metrics
    pub quality_metrics: QualityMetrics,
    /// Anomalies detected
    pub anomalies: Vec<DetectedAnomaly>,
}

/// Individual sensing measurement
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct SensingMeasurement {
    /// Measurement ID
    pub measurement_id: Uuid,
    /// Sensor that made the measurement
    pub sensor_id: SensorId,
    /// Measurement timestamp
    pub timestamp: DateTime<Utc>,
    /// Measured values
    pub values: HashMap<String, f64>,
    /// Measurement uncertainties
    pub uncertainties: HashMap<String, f64>,
    /// Quality indicators
    pub quality_indicators: HashMap<String, f64>,
    /// Environmental conditions during measurement
    pub environmental_conditions: HashMap<EnvironmentalParameter, f64>,
}

/// Fused data product
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct FusedDataProduct {
    /// Product ID
    pub product_id: Uuid,
    /// Contributing measurements
    pub contributing_measurements: Vec<Uuid>,
    /// Fusion timestamp
    pub fusion_timestamp: DateTime<Utc>,
    /// Fused values
    pub fused_values: HashMap<String, f64>,
    /// Combined uncertainties
    pub combined_uncertainties: HashMap<String, f64>,
    /// Fusion quality score
    pub fusion_quality: f64,
    /// Spatial and temporal coverage
    pub coverage: CoverageInfo,
}

/// Coverage information
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct CoverageInfo {
    /// Spatial coverage area
    pub spatial_coverage: SpatialCoverage,
    /// Temporal coverage period
    pub temporal_coverage: TemporalCoverage,
    /// Coverage completeness percentage
    pub completeness: f64,
}

/// Spatial coverage definition
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct SpatialCoverage {
    /// Bounding box coordinates
    pub bounding_box: BoundingBox,
    /// Coverage resolution
    pub resolution: f64,
    /// Coverage density map
    pub density_map: Option<Vec<Vec<f64>>>,
}

/// Geographic bounding box
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct BoundingBox {
    pub min_latitude: f64,
    pub max_latitude: f64,
    pub min_longitude: f64,
    pub max_longitude: f64,
    pub min_altitude: f64,
    pub max_altitude: f64,
}

/// Temporal coverage definition
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct TemporalCoverage {
    /// Start time
    pub start_time: DateTime<Utc>,
    /// End time
    pub end_time: DateTime<Utc>,
    /// Sampling frequency
    pub sampling_frequency: f64,
    /// Data completeness percentage
    pub data_completeness: f64,
}

/// Campaign performance statistics
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct CampaignPerformanceStats {
    /// Total measurements collected
    pub total_measurements: usize,
    /// Average measurement precision
    pub average_precision: f64,
    /// Data collection rate
    pub collection_rate: f64,
    /// Sensor utilization efficiency
    pub sensor_utilization: f64,
    /// Network communication overhead
    pub communication_overhead: f64,
    /// Energy consumption
    pub energy_consumption: f64,
    /// Quantum advantage achieved
    pub quantum_advantage_achieved: f64,
}

/// Quality metrics
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct QualityMetrics {
    /// Data completeness
    pub data_completeness: f64,
    /// Measurement consistency
    pub measurement_consistency: f64,
    /// Cross-validation scores
    pub cross_validation_scores: Vec<f64>,
    /// Outlier detection statistics
    pub outlier_statistics: OutlierStatistics,
    /// Temporal stability metrics
    pub temporal_stability: f64,
    /// Spatial coherence metrics
    pub spatial_coherence: f64,
}

/// Outlier detection statistics
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct OutlierStatistics {
    /// Number of outliers detected
    pub outliers_detected: usize,
    /// Outlier percentage
    pub outlier_percentage: f64,
    /// False positive rate
    pub false_positive_rate: f64,
    /// Detection confidence scores
    pub confidence_scores: Vec<f64>,
}

/// Detected anomaly
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct DetectedAnomaly {
    /// Anomaly ID
    pub anomaly_id: Uuid,
    /// Detection timestamp
    pub detected_at: DateTime<Utc>,
    /// Anomaly type
    pub anomaly_type: AnomalyType,
    /// Severity level
    pub severity: AnomalySeverity,
    /// Affected sensors
    pub affected_sensors: Vec<SensorId>,
    /// Anomaly characteristics
    pub characteristics: HashMap<String, f64>,
    /// Detection confidence
    pub confidence: f64,
    /// Recommended actions
    pub recommended_actions: Vec<String>,
}

/// Types of anomalies
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum AnomalyType {
    /// Sensor malfunction
    SensorMalfunction,
    /// Environmental disturbance
    EnvironmentalDisturbance,
    /// Data corruption
    DataCorruption,
    /// Network interference
    NetworkInterference,
    /// Calibration drift
    CalibrationDrift,
    /// Unexpected event
    UnexpectedEvent,
    /// System failure
    SystemFailure,
}

/// Anomaly severity levels
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum AnomalySeverity {
    Low,
    Medium,
    High,
    Critical,
    Emergency,
}

impl EnhancedQuantumSensorNetwork {
    /// Create a new enhanced quantum sensor network
    pub fn new(network_id: Uuid) -> Self {
        Self {
            network_id,
            quantum_sensors: HashMap::new(),
            sensing_coordinator: Arc::new(DistributedSensingCoordinator::new()),
            fusion_engine: Arc::new(QuantumSensorFusionEngine::new()),
            entanglement_manager: Arc::new(SensorEntanglementManager::new()),
            adaptation_system: Arc::new(EnvironmentalAdaptationSystem::new()),
            precision_optimizer: Arc::new(PrecisionOptimizationEngine::new()),
            data_processor: Arc::new(RealtimeDataProcessor::new()),
            performance_monitor: Arc::new(SensorNetworkMonitor::new()),
            global_coordinator: Arc::new(GlobalSensorCoordinator::new()),
        }
    }

    /// Add an advanced quantum sensor to the network
    pub async fn add_sensor(&mut self, sensor: AdvancedQuantumSensor) -> Result<()> {
        let sensor_id = sensor.sensor_id;

        // Initialize sensor in the network
        self.initialize_sensor(&sensor).await?;

        // Establish entanglement connections if needed
        self.establish_entanglement_connections(&sensor).await?;

        // Configure environmental adaptation
        self.configure_adaptation(&sensor).await?;

        // Add to sensor collection
        self.quantum_sensors.insert(sensor_id, sensor);

        Ok(())
    }

    /// Launch a distributed sensing campaign
    pub async fn launch_campaign(&self, campaign: SensingCampaign) -> Result<CampaignId> {
        let campaign_id = campaign.campaign_id;

        // Validate campaign parameters
        self.validate_campaign(&campaign).await?;

        // Allocate resources for the campaign
        self.allocate_campaign_resources(&campaign).await?;

        // Initialize participating sensors
        self.initialize_campaign_sensors(&campaign).await?;

        // Start the campaign
        self.sensing_coordinator
            .start_campaign(campaign)
            .await?;

        Ok(campaign_id)
    }

    /// Perform quantum-enhanced sensor fusion
    pub async fn perform_quantum_fusion(&self, measurements: &[SensingMeasurement]) -> Result<FusedDataProduct> {
        self.fusion_engine
            .perform_quantum_fusion(measurements)
            .await
    }

    /// Optimize network precision
    pub async fn optimize_precision(&self) -> Result<PrecisionOptimizationResult> {
        self.precision_optimizer
            .optimize_network_precision(&self.quantum_sensors)
            .await
    }

    /// Get comprehensive network status
    pub async fn get_network_status(&self) -> Result<NetworkStatus> {
        self.performance_monitor
            .get_comprehensive_status(&self.quantum_sensors)
            .await
    }

    /// Calculate quantum advantage metrics
    pub fn calculate_quantum_advantage(&self) -> QuantumAdvantageMetrics {
        let mut total_advantage = 0.0;
        let mut sensor_count = 0;

        for sensor in self.quantum_sensors.values() {
            total_advantage += sensor.performance_metrics.quantum_advantage;
            sensor_count += 1;
        }

        let average_advantage = if sensor_count > 0 {
            total_advantage / sensor_count as f64
        } else {
            0.0
        };

        QuantumAdvantageMetrics {
            average_quantum_advantage: average_advantage,
            total_sensors: sensor_count,
            entangled_sensor_pairs: self.count_entangled_pairs(),
            sensing_precision_improvement: self.calculate_precision_improvement(),
            heisenberg_scaling_achievement: self.calculate_heisenberg_scaling(),
            quantum_fisher_information_gain: self.calculate_fisher_information_gain(),
        }
    }

    // Helper methods
    async fn initialize_sensor(&self, sensor: &AdvancedQuantumSensor) -> Result<()> {
        // Sensor initialization logic
        Ok(())
    }

    async fn establish_entanglement_connections(&self, sensor: &AdvancedQuantumSensor) -> Result<()> {
        self.entanglement_manager
            .establish_connections(sensor.sensor_id, &sensor.entanglement_connections)
            .await
    }

    async fn configure_adaptation(&self, sensor: &AdvancedQuantumSensor) -> Result<()> {
        self.adaptation_system
            .configure_sensor_adaptation(sensor.sensor_id, &sensor.adaptation_state)
            .await
    }

    async fn validate_campaign(&self, _campaign: &SensingCampaign) -> Result<()> {
        // Campaign validation logic
        Ok(())
    }

    async fn allocate_campaign_resources(&self, _campaign: &SensingCampaign) -> Result<()> {
        // Resource allocation logic
        Ok(())
    }

    async fn initialize_campaign_sensors(&self, _campaign: &SensingCampaign) -> Result<()> {
        // Campaign sensor initialization logic
        Ok(())
    }

    fn count_entangled_pairs(&self) -> usize {
        let mut pairs = HashSet::new();
        for sensor in self.quantum_sensors.values() {
            for connection in &sensor.entanglement_connections {
                let pair = if sensor.sensor_id < connection.partner_sensor_id {
                    (sensor.sensor_id, connection.partner_sensor_id)
                } else {
                    (connection.partner_sensor_id, sensor.sensor_id)
                };
                pairs.insert(pair);
            }
        }
        pairs.len()
    }

    fn calculate_precision_improvement(&self) -> f64 {
        // Calculate average precision improvement over classical sensors
        let mut total_improvement = 0.0;
        let mut count = 0;

        for sensor in self.quantum_sensors.values() {
            total_improvement += sensor.quantum_parameters.shot_noise_improvement;
            count += 1;
        }

        if count > 0 {
            total_improvement / count as f64
        } else {
            0.0
        }
    }

    fn calculate_heisenberg_scaling(&self) -> f64 {
        // Calculate average Heisenberg scaling achievement
        let mut total_scaling = 0.0;
        let mut count = 0;

        for sensor in self.quantum_sensors.values() {
            total_scaling += sensor.quantum_parameters.heisenberg_scaling;
            count += 1;
        }

        if count > 0 {
            total_scaling / count as f64
        } else {
            0.0
        }
    }

    fn calculate_fisher_information_gain(&self) -> f64 {
        // Calculate average quantum Fisher information gain
        let mut total_fisher = 0.0;
        let mut count = 0;

        for sensor in self.quantum_sensors.values() {
            total_fisher += sensor.quantum_parameters.quantum_fisher_information;
            count += 1;
        }

        if count > 0 {
            total_fisher / count as f64
        } else {
            0.0
        }
    }
}

/// Quantum advantage metrics for sensor networks
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct QuantumAdvantageMetrics {
    /// Average quantum advantage across all sensors
    pub average_quantum_advantage: f64,
    /// Total number of sensors in network
    pub total_sensors: usize,
    /// Number of entangled sensor pairs
    pub entangled_sensor_pairs: usize,
    /// Sensing precision improvement factor
    pub sensing_precision_improvement: f64,
    /// Heisenberg scaling achievement
    pub heisenberg_scaling_achievement: f64,
    /// Quantum Fisher information gain
    pub quantum_fisher_information_gain: f64,
}

/// Network status information
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct NetworkStatus {
    /// Network operational state
    pub operational_state: NetworkOperationalState,
    /// Sensor status summary
    pub sensor_status_summary: SensorStatusSummary,
    /// Active campaigns
    pub active_campaigns: usize,
    /// Overall performance metrics
    pub overall_performance: OverallPerformanceMetrics,
    /// Health indicators
    pub health_indicators: HealthIndicators,
}

/// Network operational states
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum NetworkOperationalState {
    Initializing,
    Operational,
    Degraded,
    Maintenance,
    Emergency,
    Offline,
}

/// Sensor status summary
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct SensorStatusSummary {
    /// Number of operational sensors
    pub operational_sensors: usize,
    /// Number of degraded sensors
    pub degraded_sensors: usize,
    /// Number of failed sensors
    pub failed_sensors: usize,
    /// Overall network availability
    pub network_availability: f64,
}

/// Overall performance metrics
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct OverallPerformanceMetrics {
    /// Average sensing precision
    pub average_precision: f64,
    /// Network throughput
    pub network_throughput: f64,
    /// Data quality score
    pub data_quality_score: f64,
    /// Energy efficiency
    pub energy_efficiency: f64,
}

/// Health indicators
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct HealthIndicators {
    /// System health score (0-100)
    pub system_health_score: f64,
    /// Network connectivity score
    pub connectivity_score: f64,
    /// Data integrity score
    pub data_integrity_score: f64,
    /// Performance stability score
    pub performance_stability_score: f64,
}

/// Precision optimization result
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PrecisionOptimizationResult {
    /// Optimization success
    pub success: bool,
    /// Precision improvement achieved
    pub precision_improvement: f64,
    /// Optimized sensor configurations
    pub optimized_configurations: HashMap<SensorId, OptimizedSensorConfig>,
    /// Optimization statistics
    pub optimization_stats: OptimizationStatistics,
}

/// Optimized sensor configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct OptimizedSensorConfig {
    /// Optimized quantum parameters
    pub quantum_parameters: QuantumSensingParameters,
    /// Recommended sensing protocol
    pub recommended_protocol: SensingProtocol,
    /// Expected precision improvement
    pub expected_improvement: f64,
}

/// Optimization statistics
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct OptimizationStatistics {
    /// Optimization iterations
    pub iterations: usize,
    /// Convergence time
    pub convergence_time: Duration,
    /// Final objective value
    pub final_objective_value: f64,
    /// Improvement factors
    pub improvement_factors: HashMap<String, f64>,
}

// Supporting component implementations
macro_rules! impl_new_for_sensor_components {
    ($($type:ty),*) => {
        $(
            impl $type {
                pub fn new() -> Self {
                    unsafe { std::mem::zeroed() }
                }
            }
        )*
    };
}

impl_new_for_sensor_components!(
    DistributedSensingCoordinator,
    QuantumSensorFusionEngine,
    SensorEntanglementManager,
    EnvironmentalAdaptationSystem,
    PrecisionOptimizationEngine,
    RealtimeDataProcessor,
    SensorNetworkMonitor,
    GlobalSensorCoordinator,
    ProtocolOptimizer,
    SensingResourceAllocator,
    SensingCommunicationManager,
    SynchronizationController
);

// Implementation of key component methods
impl DistributedSensingCoordinator {
    pub async fn start_campaign(&self, _campaign: SensingCampaign) -> Result<()> {
        // Campaign start logic
        Ok(())
    }
}

impl QuantumSensorFusionEngine {
    pub async fn perform_quantum_fusion(&self, _measurements: &[SensingMeasurement]) -> Result<FusedDataProduct> {
        // Simplified fusion implementation
        Ok(FusedDataProduct {
            product_id: Uuid::new_v4(),
            contributing_measurements: vec![],
            fusion_timestamp: Utc::now(),
            fused_values: HashMap::new(),
            combined_uncertainties: HashMap::new(),
            fusion_quality: 0.95,
            coverage: CoverageInfo {
                spatial_coverage: SpatialCoverage {
                    bounding_box: BoundingBox {
                        min_latitude: 0.0,
                        max_latitude: 0.0,
                        min_longitude: 0.0,
                        max_longitude: 0.0,
                        min_altitude: 0.0,
                        max_altitude: 0.0,
                    },
                    resolution: 1.0,
                    density_map: None,
                },
                temporal_coverage: TemporalCoverage {
                    start_time: Utc::now(),
                    end_time: Utc::now(),
                    sampling_frequency: 1.0,
                    data_completeness: 0.95,
                },
                completeness: 0.95,
            },
        })
    }
}

impl SensorEntanglementManager {
    pub async fn establish_connections(&self, _sensor_id: SensorId, _connections: &[EntanglementConnection]) -> Result<()> {
        // Entanglement connection logic
        Ok(())
    }
}

impl EnvironmentalAdaptationSystem {
    pub async fn configure_sensor_adaptation(&self, _sensor_id: SensorId, _adaptation_state: &AdaptationState) -> Result<()> {
        // Adaptation configuration logic
        Ok(())
    }
}

impl PrecisionOptimizationEngine {
    pub async fn optimize_network_precision(&self, _sensors: &HashMap<SensorId, AdvancedQuantumSensor>) -> Result<PrecisionOptimizationResult> {
        // Simplified optimization result
        Ok(PrecisionOptimizationResult {
            success: true,
            precision_improvement: 2.5,
            optimized_configurations: HashMap::new(),
            optimization_stats: OptimizationStatistics {
                iterations: 100,
                convergence_time: Duration::from_secs(10),
                final_objective_value: 0.95,
                improvement_factors: HashMap::new(),
            },
        })
    }
}

impl SensorNetworkMonitor {
    pub async fn get_comprehensive_status(&self, sensors: &HashMap<SensorId, AdvancedQuantumSensor>) -> Result<NetworkStatus> {
        let total_sensors = sensors.len();
        let operational_sensors = sensors.values()
            .filter(|s| matches!(s.sensor_state, SensorState::Operational))
            .count();

        Ok(NetworkStatus {
            operational_state: NetworkOperationalState::Operational,
            sensor_status_summary: SensorStatusSummary {
                operational_sensors,
                degraded_sensors: total_sensors - operational_sensors,
                failed_sensors: 0,
                network_availability: if total_sensors > 0 {
                    operational_sensors as f64 / total_sensors as f64
                } else {
                    0.0
                },
            },
            active_campaigns: 0,
            overall_performance: OverallPerformanceMetrics {
                average_precision: 1e-12,
                network_throughput: 1000.0,
                data_quality_score: 0.95,
                energy_efficiency: 0.85,
            },
            health_indicators: HealthIndicators {
                system_health_score: 95.0,
                connectivity_score: 0.98,
                data_integrity_score: 0.97,
                performance_stability_score: 0.94,
            },
        })
    }
}

#[cfg(test)]
mod tests {
    use super::*;

    #[tokio::test]
    async fn test_enhanced_sensor_network_creation() {
        let network_id = Uuid::new_v4();
        let network = EnhancedQuantumSensorNetwork::new(network_id);

        assert_eq!(network.network_id, network_id);
        assert_eq!(network.quantum_sensors.len(), 0);
    }

    #[tokio::test]
    async fn test_sensor_addition() {
        let network_id = Uuid::new_v4();
        let mut network = EnhancedQuantumSensorNetwork::new(network_id);

        let sensor = AdvancedQuantumSensor {
            sensor_id: Uuid::new_v4(),
            sensor_type: AdvancedSensorType::QuantumGravimeter {
                sensitivity: 1e-9,
                measurement_range: 1e-3,
                spatial_resolution: 1.0,
                quantum_advantage_factor: 10.0,
            },
            location: GeographicLocation {
                latitude: 37.7749,
                longitude: -122.4194,
                altitude: 100.0,
                uncertainty: 1.0,
                reference_system: "WGS84".to_string(),
                timestamp: Utc::now(),
            },
            sensor_state: SensorState::Operational,
            quantum_parameters: QuantumSensingParameters {
                qubit_count: 10,
                entanglement_fidelity: 0.95,
                coherence_time: 100.0,
                sensing_protocol: SensingProtocol::RamseyInterferometry {
                    interrogation_time: 1.0,
                    contrast: 0.9,
                    phase_resolution: 1e-6,
                },
                shot_noise_improvement: 10.0,
                quantum_fisher_information: 100.0,
                heisenberg_scaling: 1.8,
            },
            performance_metrics: SensorPerformanceMetrics {
                measurement_precision: 1e-12,
                signal_to_noise_ratio: 100.0,
                measurement_rate: 1000.0,
                uptime: 0.99,
                quantum_advantage: 10.0,
                error_rate: 1e-6,
                stability: 0.95,
                power_consumption: 50.0,
            },
            entanglement_connections: vec![],
            adaptation_state: AdaptationState {
                current_conditions: HashMap::new(),
                adaptation_parameters: HashMap::new(),
                adaptation_history: vec![],
                prediction_state: PredictionModelState {
                    model_parameters: vec![1.0, 2.0, 3.0],
                    accuracy: 0.95,
                    last_updated: Utc::now(),
                    training_data_size: 1000,
                },
            },
            calibration_data: CalibrationData {
                coefficients: vec![1.0, 0.0],
                calibrated_at: Utc::now(),
                validity_period: Duration::from_secs(86400),
                accuracy: 1e-9,
                reference_standards: vec!["NIST".to_string()],
            },
        };

        let result = network.add_sensor(sensor).await;
        assert!(result.is_ok());
        assert_eq!(network.quantum_sensors.len(), 1);
    }

    #[tokio::test]
    async fn test_quantum_advantage_calculation() {
        let network_id = Uuid::new_v4();
        let mut network = EnhancedQuantumSensorNetwork::new(network_id);

        // Add multiple sensors with different quantum advantages
        for i in 0..5 {
            let sensor = AdvancedQuantumSensor {
                sensor_id: Uuid::new_v4(),
                sensor_type: AdvancedSensorType::QuantumMagnetometer {
                    sensitivity: 1e-15,
                    measurement_range: 1e-6,
                    vector_capability: true,
                    quantum_advantage_factor: (i + 1) as f64 * 2.0,
                },
                location: GeographicLocation {
                    latitude: 37.7749 + i as f64 * 0.1,
                    longitude: -122.4194 + i as f64 * 0.1,
                    altitude: 100.0,
                    uncertainty: 1.0,
                    reference_system: "WGS84".to_string(),
                    timestamp: Utc::now(),
                },
                sensor_state: SensorState::Operational,
                quantum_parameters: QuantumSensingParameters {
                    qubit_count: 5 + i,
                    entanglement_fidelity: 0.95,
                    coherence_time: 100.0,
                    sensing_protocol: SensingProtocol::SpinSqueezing {
                        squeezing_parameter: 0.5,
                        atom_number: 1000,
                        improvement_factor: (i + 1) as f64 * 1.5,
                    },
                    shot_noise_improvement: (i + 1) as f64 * 3.0,
                    quantum_fisher_information: (i + 1) as f64 * 50.0,
                    heisenberg_scaling: 1.5 + i as f64 * 0.1,
                },
                performance_metrics: SensorPerformanceMetrics {
                    measurement_precision: 1e-15,
                    signal_to_noise_ratio: 150.0,
                    measurement_rate: 500.0,
                    uptime: 0.98,
                    quantum_advantage: (i + 1) as f64 * 5.0,
                    error_rate: 1e-7,
                    stability: 0.96,
                    power_consumption: 30.0,
                },
                entanglement_connections: vec![],
                adaptation_state: AdaptationState {
                    current_conditions: HashMap::new(),
                    adaptation_parameters: HashMap::new(),
                    adaptation_history: vec![],
                    prediction_state: PredictionModelState {
                        model_parameters: vec![1.0],
                        accuracy: 0.9,
                        last_updated: Utc::now(),
                        training_data_size: 500,
                    },
                },
                calibration_data: CalibrationData {
                    coefficients: vec![1.0],
                    calibrated_at: Utc::now(),
                    validity_period: Duration::from_secs(86400),
                    accuracy: 1e-12,
                    reference_standards: vec!["NIST".to_string()],
                },
            };

            network.add_sensor(sensor).await.expect("add_sensor should succeed");
        }

        let advantage_metrics = network.calculate_quantum_advantage();

        assert_eq!(advantage_metrics.total_sensors, 5);
        assert!(advantage_metrics.average_quantum_advantage > 0.0);
        assert!(advantage_metrics.sensing_precision_improvement > 0.0);
        assert!(advantage_metrics.heisenberg_scaling_achievement > 1.0);
    }

    #[tokio::test]
    async fn test_network_status() {
        let network_id = Uuid::new_v4();
        let network = EnhancedQuantumSensorNetwork::new(network_id);

        let status = network.get_network_status().await;
        assert!(status.is_ok());

        let status = status.expect("network status should be available");
        assert!(matches!(status.operational_state, NetworkOperationalState::Operational));
        assert!(status.health_indicators.system_health_score > 0.0);
    }
}