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Sensors 2015, 15(6), 12932-12958; doi:10.3390/s150612932

GTRF: A Game Theory Approach for Regulating Node Behavior in Real-Time Wireless Sensor Networks

School of Software, Dalian University of Technology, Road No. 8, Development Zone, Dalian 116620, China
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Academic Editor: Leonhard M. Reindl
Received: 28 March 2015 / Revised: 11 May 2015 / Accepted: 29 May 2015 / Published: 4 June 2015
(This article belongs to the Section Sensor Networks)
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Abstract

The selfish behaviors of nodes (or selfish nodes) cause packet loss, network congestion or even void regions in real-time wireless sensor networks, which greatly decrease the network performance. Previous methods have focused on detecting selfish nodes or avoiding selfish behavior, but little attention has been paid to regulating selfish behavior. In this paper, a Game Theory-based Real-time & Fault-tolerant (GTRF) routing protocol is proposed. GTRF is composed of two stages. In the first stage, a game theory model named VA is developed to regulate nodes’ behaviors and meanwhile balance energy cost. In the second stage, a jumping transmission method is adopted, which ensures that real-time packets can be successfully delivered to the sink before a specific deadline. We prove that GTRF theoretically meets real-time requirements with low energy cost. Finally, extensive simulations are conducted to demonstrate the performance of our scheme. Simulation results show that GTRF not only balances the energy cost of the network, but also prolongs network lifetime. View Full-Text
Keywords: wireless sensor network; real-time; fault tolerance; selfish behavior; game theory; Nash Equilibrium wireless sensor network; real-time; fault tolerance; selfish behavior; game theory; Nash Equilibrium
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Lin, C.; Wu, G.; Pirozmand, P. GTRF: A Game Theory Approach for Regulating Node Behavior in Real-Time Wireless Sensor Networks. Sensors 2015, 15, 12932-12958.

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