An end-to-end sensor scheduling method based on D3QN for underwater passive tracking in UWSNs
Linyao Zheng, Meiqin Liu, Senlin Zhang
Topics & Concepts
Computer scienceScheduling (production processes)Reinforcement learningReal-time computingEnergy consumptionWireless sensor networkEnd-to-end principleScalabilityMarkov decision processEfficient energy useMarkov processComputer networkMathematical optimizationArtificial intelligenceMathematicsBiologyElectrical engineeringEcologyEngineeringDatabaseStatisticsUnderwater Vehicles and Communication SystemsWater Quality Monitoring TechnologiesEnergy Efficient Wireless Sensor Networks