Title: An efficient power conservation scheme in non-zero-sum duty-cycle game for wireless sensor networks

Authors: Fan-Hsun Tseng; Hsin-Hung Cho; Li-Der Chou; Timothy K. Shih; Han-Chieh Chao

Addresses: Department of Computer Science and Information Engineering, National Central University, Taoyuan 32001, Taiwan ' Department of Computer Science and Information Engineering, National Central University, Taoyuan 32001, Taiwan ' Department of Computer Science and Information Engineering, National Central University, Taoyuan 32001, Taiwan ' Department of Computer Science and Information Engineering, National Central University, Taoyuan 32001, Taiwan ' Department of Computer Science and Information Engineering, National Ilan University, I-Lan 26047, Taiwan

Abstract: Wireless sensor network (WSN) is still a popular research field, which can be applied to various emerging research topics such as internet of things and smart grid. The sensor nodes are responsible to detect the new environment and monitor the variable situation, but suffer from battery powered with energy limitation. In this paper, we define the power consumption problem in the overlapping area based on integer linear programming (ILP). Then, we propose a game-based model named non-zero-sum duty-cycle game (NZS-DCG) to express the cooperation between sensor nodes, and formulate the equilibratory equation based on Nash Equilibrium to decide the optimal strategy. The simulation results show that the cooperative scheme provides the lowest power consumption and the longest network lifetime than other related literatures. In conclusion, the power conservation and traffic relieving in WSN can be achieved by the proposed game model.

Keywords: WSNs; wireless sensor networks; power conservation; ILP; integer linear programming; duty cycle; game theory; energy consumption; node cooperation; Nash equilibrium; simulation; network lifetime.

DOI: 10.1504/IJSNET.2016.079174

International Journal of Sensor Networks, 2016 Vol.21 No.4, pp.242 - 251

Available online: 19 Sep 2016 *

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