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Auto-management of energy in IoT Networks

Abstract : Wireless Sensor Network (WSN) based on IEEE 802.15.4 technology continues to gain considerable importance. The present work is based on this standard and a cluster tree network topology. This network is divided into many subgroups each of which is charac- terized by its special IEEE parameters (Beacon Order (BO) and Superframe Order (SO)). A mathematical model for computing energy consumption was proposed to enable the Personal Area Network (PAN) coordinator to detect the current energy level in the bat- tery. The proposed adaptive intervention is based on a comparison between the remaining energy and the diverse thresholds which lead to an auto-management of energy consump- tion. The proposed approach was evaluated using Inetmanet/Omnet++ simulator.
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Submitted on : Friday, July 17, 2020 - 3:20:30 PM
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Ahmed Zouinkhi, Hayfa Ayadi, Thierry Val, Boussaid Boumedyen, Mohamed Naceur Abdelkrim. Auto-management of energy in IoT Networks. International Journal of Communication Systems, 2019, 33 (1), pp.0. ⟨10.1002/dac.4168⟩. ⟨hal-02901798⟩



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