Optimisation of LEACH protocol based on a game theory clustering approach for wireless sensor networks

The wireless sensor network clustering routing mechanism is the best multi-hop algorithm used to aggregate data from sensors to the base station. Therefore the elected nodes refuse to be a clusters heads CH and have a selfish and non cooperative behaviours in each group cluster. All that due to the...

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Main Authors: Oukessou, Yassine (Author), Baslam, Mohamed (Author), Oukessou, Mohamed (Author)
Format: EJournal Article
Published: Institute of Advanced Engineering and Science, 2021-02-01.
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LEADER 01933 am a22003133u 4500
001 ijeecs23355_14613
042 |a dc 
100 1 0 |a Oukessou, Yassine  |e author 
100 1 0 |e contributor 
700 1 0 |a Baslam, Mohamed  |e author 
700 1 0 |a Oukessou, Mohamed  |e author 
245 0 0 |a Optimisation of LEACH protocol based on a game theory clustering approach for wireless sensor networks 
260 |b Institute of Advanced Engineering and Science,   |c 2021-02-01. 
500 |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/23355 
520 |a The wireless sensor network clustering routing mechanism is the best multi-hop algorithm used to aggregate data from sensors to the base station. Therefore the elected nodes refuse to be a clusters heads CH and have a selfish and non cooperative behaviours in each group cluster. All that due to the high electric energy consumption, and especially that the most existing sensors are powered by batteries. In this paper, we will analyse the selfishness behaviour by using the most knowing mathematical model Game theory to improve the interaction decision making for the CH selection, and make a comparison with LEACH protocol. 
540 |a Copyright (c) 2021 Institute of Advanced Engineering and Science 
540 |a http://creativecommons.org/licenses/by-nc/4.0 
546 |a eng 
690
690 |a Cluster head; Game theory; LEACH; Nash equilibrium; WSN 
655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
655 7 |2 local 
786 0 |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 21, No 2: February 2021; 938-944 
786 0 |n 2502-4760 
786 0 |n 2502-4752 
786 0 |n 10.11591/ijeecs.v21.i2 
787 0 |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/23355/14613 
856 4 1 |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/23355/14613  |z Get fulltext