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Auto‐management of energy in IoT networks
Author(s) -
Zouinkhi Ahmed,
Ayadi Hayfa,
Val Thierry,
Boussaid Boumedyen,
Abdelkrim Mohamed Naceur
Publication year - 2019
Publication title -
international journal of communication systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.344
H-Index - 49
eISSN - 1099-1131
pISSN - 1074-5351
DOI - 10.1002/dac.4168
Subject(s) - computer science , superframe , energy consumption , wireless sensor network , ieee 802.15 , energy (signal processing) , computer network , energy management , battery (electricity) , personal area network , network topology , tree (set theory) , wireless , telecommunications , electrical engineering , power (physics) , statistics , physics , mathematics , quantum mechanics , engineering , mathematical analysis
Summary 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 characterized by its special IEEE parameters (beacon order [BO] and superframe order [SO]). A mathematical model for computing energy consumption was proposed to enable personal area network (PAN) coordinator to detect the current energy level in the battery. 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 consumption. The proposed approach was evaluated using Inetmanet/Omnet++ simulator.