Auto-management of energy in IoT Networks

Ahmed Zouinkhi (1) , Hayfa Ayadi (1) , Thierry Val (2, 3) , Boussaid Boumedyen (1) , Mohamed Naceur Abdelkrim (1)

1 Université de Gabès
2 IRIT-RMESS - Réseaux, Mobiles, Embarqués, Sans fil, Satellites
3 UT2J - Université Toulouse - Jean Jaurès

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.

Mots clés: IoT; WSN; IEEE 802.15.4; Auto-management; Energy

Domaines: Réseaux et télécommunications [cs.NI]; Système d'exploitation [cs.OS]; Architectures Matérielles [cs.AR]; Systèmes embarqués

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⟩