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Auto-management of energy in IoT Networks

Zouinkhi, Ahmed and Ayadi, Hayfa and Val, Thierry and Boumedyen, Boussaid and Abdelkrim, Mohamed Naceur Auto-management of energy in IoT Networks. (2019) International Journal of Communication Systems, 33 (1). ISSN 1099-1131

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Official URL: https://doi.org/10.1002/dac.4168

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.

Item Type:Article
HAL Id:hal-02901798
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > Université de Gabès (TUNISIA)
Laboratory name:
Funders:
Ministry of the Higher Education and Scientific Research in Tunisia
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Deposited On:17 Jul 2020 13:20

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