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All Journal Jurnal Elektronika dan Telekomunikasi
Suyoto Suyoto
Indonesian Institute of Sciences, Indonesia
Electrical & Electronics Engineering Engineering

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Cooperative Game Theory Approach for Energy-Efficient Node Clustering in Wireless Sensor Network Chaeriah Bin Ali Wael; Nasrullah Armi; Arumjeni Mitayani; Suyoto Suyoto; Salita Ulitia Prini; Winy Desvasari; Rico Dahlan; Ros Sariningrum
Jurnal Elektronika dan Telekomunikasi Vol 20, No 2 (2020)
Publisher : LIPI Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v20.76-81

Abstract

Energy consumption is one of the critical challenges in designing wireless sensor network (WSN) since it is typically composed of resource-constrained devices. Many studies have been proposed clustering to deal with energy conservation in WSN. Due to its predominance in coordinating the behaviors of many players, game theory has been considered for improving energy efficiency in WSN. In this paper, we evaluate the performance of cooperative game theoretic clustering (CGC) algorithm which employs cooperative game theory in a form of 3-agent cost sharing game for energy-efficient clustering in WSN. Furthermore, we compared its performance to a well-known traditional clustering method, low-energy adaptive clustering hierarchy (LEACH), in terms of network lifetime and stability, and total residual energy. The simulation results show that CGC has better performance compared to LEACH due to the cooperation among cluster heads in coalition. CGC has higher alive nodes with stability improvement of first node dies (FND) by 65%, and the improvement by 52.4% for half node dies (HND). However, with the increasing of the number of nodes, the performance of LEACH is getting better compared to CGC.
Co-Authors Arumjeni Mitayani Chaeriah Bin Ali Wael Nasrullah Armi Rico Dahlan Ros Sariningrum Salita Ulitia Prini Winy Desvasari