Energy-efficiency in decentralized wireless networks: A game-theoretic approach inspired by evolutionary biology

Gajduk, Andrej and Utkovski, Zoran and Basnarkov, Lasko and Kocarev, Ljupco (2014) Energy-efficiency in decentralized wireless networks: A game-theoretic approach inspired by evolutionary biology. Proceedings of 12th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), 2014 . pp. 636-643.


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Energy efficiency is gaining importance in wireless communication networks which have nodes with limited energy supply and signal processing capabilities. We present a numerical study of cooperative communication scenarios based on simple local rules. This is in contrast to most of the approaches in the literature which enforce cooperation by using complex algorithms and require strategic complexity of the network nodes. The approach is motivated by recent results in evolutionary biology which suggest that, if certain mechanism is at work, cooperation can be favored by natural selection, i. e. even selfish actions of the individual nodes can lead to emergence of cooperative behavior in the network. The results of the simulations in the context of wireless communication networks verify these observations and indicate that uncomplicated local rules, followed by simple fitness evaluation, can generate network behavior which yields global energy efficiency.

Item Type: Article
Uncontrolled Keywords: cooperative communication;evolutionary computation;game theory;radio networks;complex algorithms;cooperative communication scenarios;decentralized wireless networks;energy supply capabilities;evolutionary biology;fitness evaluation;game-theoretic approach;global energy efficiency;local rules;natural selection;network nodes;signal processing capabilities;strategic complexity;wireless communication networks;Biology;Communication networks;Energy consumption;Sociology;Statistics;Wireless networks
Subjects: Engineering and Technology > Electrical engineering, electronic engineering, information engineering
Divisions: Faculty of Computer Science
Depositing User: Zoran Utkovski
Date Deposited: 21 Aug 2015 08:54
Last Modified: 21 Aug 2015 08:54

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