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Improved W-LEACH Decentralized protocol with game theory
Author(s) -
Abdelhalim Hnini,
Mohammed Fihri,
Abdelmajid Hajami,
El Mehdi Kandoussi,
Mohamed Nabil
Publication year - 2020
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2020.07.078
Subject(s) - computer science , scalability , wireless sensor network , game theory , node (physics) , protocol (science) , distributed computing , computer network , set (abstract data type) , energy consumption , cooperative game theory , mathematical optimization , medicine , ecology , programming language , alternative medicine , structural engineering , pathology , database , engineering , economics , biology , microeconomics , mathematics
One of the most significant difficulties for LEACH protocol in wireless sensor networks (WSNs) are network lifetime and scalability. To prolong that we schooled develop a specific energy distribution among sensor nodes. Therefore, an efficient sleep nodes optimization policy is essential for W-LEACH Decentralized. Recently, game theory has been introduced to choose Cluster Head. In this paper, we introduce this theory to choose a sleeping nodes according to node density and distance of set neighbors for each ordinary node. Through simulations results, our proposed game theory proved to have a good energy balancing performance and consequently the network lifetime greatly enhanced.

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