[00541] Reinforcement Learning-based Data Collection and Energy Replenishment in SDIoT
Session Time & Room : 5D (Aug.25, 15:30-17:10) @E711
Type : Contributed Talk
Abstract : In software-defined internet of things (SDIoT) with wireless rechargeable sensor networks, a novel reinforcement learning-based method is proposed for collecting data and scheduling mobile sinks to recharge the sensor nodes. The suggested technique extends the network lifetime while ensuring the QoS of the SDIoT. Finally, the results show that the suggested approach significantly increases the energy efficiency and also increases the network's lifetime.