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Collective Intelligent Wireless Sensor Networks Host Publication: 20th Belgian-Netherlands Conference on Artificial Intelligence - BNAIC 2008 Authors: M. Emilov Mihaylov, A. Nowé and K. Tuyls Publication Year: 2008 Number of Pages: 8
Abstract: In this paper we apply the COllective INtelligence (COIN) framework ofWolpert et al. toWireless Sensor
Networks (WSNs) with the aim to increase the autonomous lifetime of the network in a decentralized
manner. COIN describes how selfish agents can learn to optimize their own performance, so that the
performance of the global system is increased. WSNs are collections of densely deployed sensor nodes
that gather environmental data, where the main challenges are the limited power supply of nodes and
the need for decentralized control. To overcome these challenges, we make each sensor node adopt an
algorithm to optimize its own energy efficiency, so that the energy efficiency of the whole system is
increased. We introduce a new private utility function that will measure the performance of each agent
and we show that nodes in WSNs are able to develop an energy saving behaviour on their own, when using
the COIN framework.
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