Abstract
In this paper, we consider the self-organisation of sensors within a network deployed for wide area surveillance. We present a decentralised coordination algorithm based upon the max-sum algorithm and demonstrate how self-organisation can be achieved within a setting where sensors are deployed with no a priori information regarding their local environment. These energy-constrained sensors first learn how their actions interact with those of neighbouring sensors, and then use the max-sum algorithm to coordinate their sense/sleep schedules in order to maximise the effectiveness of the sensor network as a whole. In a simulation we show that this approach yields a 30% reduction in the number of vehicles that the sensor network fails to detect (compared to an uncoordinated network), and this performance is close to that achieved by a benchmark centralised optimisation algorithm (simulated annealing).
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Rogers, A., Farinelli, A., Jennings, N.R. (2010). Self-organising Sensors for Wide Area Surveillance Using the Max-sum Algorithm. In: Weyns, D., Malek, S., de Lemos, R., Andersson, J. (eds) Self-Organizing Architectures. SOAR 2009. Lecture Notes in Computer Science, vol 6090. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14412-7_5
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DOI: https://doi.org/10.1007/978-3-642-14412-7_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14411-0
Online ISBN: 978-3-642-14412-7
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