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An On-Demand Charging for Connected Target Coverage in WRSNs Using Fuzzy Logic and Q-Learning.

, , , , and . Sensors, 21 (16): 5520 (2021)

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An energy efficient and load balanced distributed routing scheme for wireless sensor networks with holes., , , and . J. Syst. Softw., (2017)A Deep Reinforcement Learning-based Adaptive Charging Policy for Wireless Rechargeable Sensor Networks., , , and . CoRR, (2022)IncepSE: Leveraging InceptionTime's performance with Squeeze and Excitation mechanism in ECG analysis., , , , and . CoRR, (2023)Joint Optimization of Charging Location and Time for Network Lifetime Extension in WRSNs., , , , and . IEEE Trans. Green Commun. Netw., 6 (2): 1186-1197 (2022)Energy-efficient routing in the proximity of a complicated hole in wireless sensor networks., , , , and . Wirel. Networks, 27 (4): 3073-3089 (2021)Correction to: Energy-efficient routing in the proximity of a complicated hole in wireless sensor networks., , , , and . Wirel. Networks, 27 (4): 3091 (2021)A Time and Energy Efficient Protocol for Locating Coverage Holes in WSNs., , , and . LCN, page 180-183. IEEE Computer Society, (2016)A Q-learning-based Multipath Scheduler for Data Transmission Optimization in Heterogeneous Wireless Networks., , , , and . CCNC, page 573-578. IEEE, (2023)Exploiting Q-Learning in Extending the Network Lifetime of Wireless Sensor Networks with Holes., , , and . ICPADS, page 602-609. IEEE, (2019)An $e-12e-1$-Approximation Algorithm for Maximizing Coverage Capability in Mobile Air Quality Monitoring Systems., , , , and . NCA, page 1-4. IEEE, (2020)