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Applying Game Theory in Securing Wireless Sensor Networks by Minimizing Battery Usage

Applying Game Theory in Securing Wireless Sensor Networks by Minimizing Battery Usage
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Author(s): Mehran Asadi (The Lincoln University, USA), Afrand Agah (West Chester University of Pennsylvania, USA)and Christopher Zimmerman (West Chester University of Pennsylvania, USA)
Copyright: 2018
Pages: 16
Source title: Game Theory: Breakthroughs in Research and Practice
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-2594-3.ch012

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Abstract

In this chapter, the authors examine the impacts of applying game theory on the network throughput, network voltage loss, and accuracy of malicious node detection in wireless sensor networks. Nodes in a wireless sensor network use our proposed protocol when deciding whether or not to forward packets they receive from other sensors in order to conserve power. Wireless sensor network nodes achieve this by optimizing their decision-making based on a framework using game theory. Defining a suitable cost and profit for routing and forwarding incoming packets and keeping a history of past behaviors of non-cooperating nodes gradually forces malicious nodes out of the wireless sensor network.In this chapter, the authors examine the impacts of applying game theory on the network throughput, network voltage loss, and accuracy of malicious node detection in wireless sensor networks. Nodes in a wireless sensor network use our proposed protocol when deciding whether or not to forward packets they receive from other sensors in order to conserve power. Wireless sensor network nodes achieve this by optimizing their decision-making based on a framework using game theory. Defining a suitable cost and profit for routing and forwarding incoming packets and keeping a history of past behaviors of non-cooperating nodes gradually forces malicious nodes out of the wireless sensor network.

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