RL-Sleep: Temperature Adaptive Sleep Scheduling using Reinforcement Learning for Sustainable Connectivity in Wireless Sensor Networks

• Published in: Sustainable computing informatics and systems Vol. 26; p. 100380
• Main Authors: Banerjee, Partha Sarathi, Mandal, Satyendra Nath, De, Debashis, Maiti, Biswajit
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 01.06.2020
• Subjects: Entropy; Heterogeneous wireless sensor network; Intelligent sleep scheduling; Reinforcement learning; Temperature; Temperature; Intelligent sleep scheduling; Entropy; Heterogeneous wireless sensor network; Reinforcement learning
• ISSN: 2210-5379
• DOI: 10.1016/j.suscom.2020.100380

[Display omitted] •RL-SLEEP protects sensor nodes from faster energy-depletion caused by temperature.•RL-SLEEP enables the sensor nodes to perform state transition depending on atmospheric temperature variation.•RL-SLEEP defines intermediate states between Active and Sleep states and the sensor node...