Proposing an Energy-Aware Objective Function Based on Reinforcement Learning for Mobile IoT Networks, M.Sc. Thesis Sharif University of Technology ; Ejlali, Alireza (Supervisor)
Abstract
The presence of IoT has been increased in different aspects of human life. Due to the increasing trend in the number of smart connected devices, routing has become a major challenge in loT systems. Furthermore, due to the energy-constrained embedded devices in the network, which are usually battery-powered, and considering that %97 of the node's energy consumption is due to activities associated with the transceiver module, the energy-aware routing is significantly important. In this regard, the IPv6 routing protocol for low-power and lossy networks (RPL) was standardized to be adopted in IoT infrastructure. Due to the increasing interest in mobile IoT applications in recent years and...
Cataloging briefProposing an Energy-Aware Objective Function Based on Reinforcement Learning for Mobile IoT Networks, M.Sc. Thesis Sharif University of Technology ; Ejlali, Alireza (Supervisor)
Abstract
The presence of IoT has been increased in different aspects of human life. Due to the increasing trend in the number of smart connected devices, routing has become a major challenge in loT systems. Furthermore, due to the energy-constrained embedded devices in the network, which are usually battery-powered, and considering that %97 of the node's energy consumption is due to activities associated with the transceiver module, the energy-aware routing is significantly important. In this regard, the IPv6 routing protocol for low-power and lossy networks (RPL) was standardized to be adopted in IoT infrastructure. Due to the increasing interest in mobile IoT applications in recent years and...
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