Bio-Inspired Paradigms in Network Engineering Games

Eitan Altman 1
1 MAESTRO - Models for the performance analysis and the control of networks
CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : Network Engineering Games (NEGs) is an emerging branch of game theory developed in Electrical Engineering Departments. It concerns games that arise in all levels of telecommunication networks. There has been a growing interest among researchers in this community in bio-inspired method- ologies in recent years due to two reasons. First, many problems in networking have much in common with problems in biology. Examples are (i) propagation of information in networks, that has similar dynamics as propagation of epi- demics. (ii) energy management issues in wireless networks and competition over resources are often similar to issues by biologists. (iii) both equilibria concepts as well as replicator dynamics that arise in evolutionary games are quite relevant to NEGs. In this paper we present an overview of applications and tools used in network engineering games, we then describe in more depth bio-inspired tools used in or relevant to network engineering. We present - nally an example of a stochastic epidemic game arising in wireless networks that involves competition over the relaying of information.
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Article dans une revue
Journal of Dynamics and Games (JDG), Springer, 2014, 1 (1), pp.1-15. 〈10.3934/jdg.2014.1.1〉
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Eitan Altman. Bio-Inspired Paradigms in Network Engineering Games. Journal of Dynamics and Games (JDG), Springer, 2014, 1 (1), pp.1-15. 〈10.3934/jdg.2014.1.1〉. 〈hal-00918809〉

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