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[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.
  • Classification : 68T05, 68T40, 68T20, 68Q06, Internet of Things; Machine learning; Reinforcement learning
  • Format : Talk at Waseda University
  • Author(s) :
    • Vishnuvarthan Rajagopal (Research scholar, Department of Electronics and Communication Engineering, Anna University Regional Campus, Coimbatore.)
    • Bhanumathi V (Assistant Professor, Department of Electronics and Communication Engineering,Anna University Regional Campus, Coimbatore.)