On Energy-efficiency in Wireless Networks: A Game-theoretic Approach to Cooperation Inspired by Evolutionary Biology
Journal
arXiv preprint arXiv:1405.4120
Date Issued
2014-05-16
Author(s)
Utkovski, Zoran
Gajduk, Andrej
Bosnakovski, Darko
Kocarev, Ljupcho
Abstract
We develop a game-theoretic framework to investigate the effect of cooperation on the energy efficiency in wireless
networks. We address two examples of network architectures,
resembling ad-hoc network and network with central infrastructure node. Most present approaches address the issue of
energy efficiency in communication networks by using complex
algorithms to enforce cooperation in the network, followed by
extensive signal processing at the network nodes. Instead, we
address cooperative communication scenarios which are governed
by simple, evolutionary-like, local rules, and do not require
strategic complexity of the network nodes. The approach is
motivated by recent results in evolutionary biology which suggest
that cooperation can emerge in Nature by evolution, i. e. can
be favoured by natural selection, if certain mechanism is at
work. As result, we are able to show by experiments that
cooperative behavior can indeed emerge and persist in wireless
networks, even if the behavior of the individual nodes is driven by
selfish decision making. The results from this work indicate that
uncomplicated local rules, followed by simple fitness evaluation,
can promote cooperation and generate network behavior which
yields global energy efficiency in certain wireless networks.
networks. We address two examples of network architectures,
resembling ad-hoc network and network with central infrastructure node. Most present approaches address the issue of
energy efficiency in communication networks by using complex
algorithms to enforce cooperation in the network, followed by
extensive signal processing at the network nodes. Instead, we
address cooperative communication scenarios which are governed
by simple, evolutionary-like, local rules, and do not require
strategic complexity of the network nodes. The approach is
motivated by recent results in evolutionary biology which suggest
that cooperation can emerge in Nature by evolution, i. e. can
be favoured by natural selection, if certain mechanism is at
work. As result, we are able to show by experiments that
cooperative behavior can indeed emerge and persist in wireless
networks, even if the behavior of the individual nodes is driven by
selfish decision making. The results from this work indicate that
uncomplicated local rules, followed by simple fitness evaluation,
can promote cooperation and generate network behavior which
yields global energy efficiency in certain wireless networks.
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