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Optimizing energy efficiency of LoRaWAN-based wireless underground sensor networks: A multi-agent reinforcement learning approach

Guozheng Zhao, Kaiqiang Lin, David Chapman, Nicole Metje, Tong Hao

2023Internet of Things34 citationsDOIOpen Access PDF

Topics & Concepts

Reinforcement learningComputer scienceEfficient energy useWireless sensor networkNetwork packetNode (physics)AdaptabilityWirelessEnergy (signal processing)Distributed computingEnergy consumptionReal-time computingComputer networkArtificial intelligenceEngineeringTelecommunicationsBiologyStructural engineeringElectrical engineeringMathematicsEcologyStatisticsIoT Networks and ProtocolsEnergy Harvesting in Wireless NetworksIoT-based Smart Home Systems
Optimizing energy efficiency of LoRaWAN-based wireless underground sensor networks: A multi-agent reinforcement learning approach | Litcius