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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(Document in English)
PDF (Author's version) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader 2MB |
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 |
| Statistics: | download |
| Deposited On: | 17 Jul 2020 13:20 |
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