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

Date Issued
2014-05-12
Author(s)
Gajduk, Andrej
Utkovski, Zoran
Kocarev, Ljupcho
Abstract
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.
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