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Decentralised Coordination of Mobile Sensors Using the Max-Sum Algorithm

Stranders, Ruben, Farinelli, Alessandro, Rogers, Alex and Jennings, Nick (2009) Decentralised Coordination of Mobile Sensors Using the Max-Sum Algorithm At Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence, United States. , pp. 299-304.

Record type: Conference or Workshop Item (Paper)

Abstract

In this paper, we introduce an on-line, decentralised coordination algorithm for monitoring and predicting the state of spatial phenomena by a team of mobile sensors. These sensors have their application domain in disaster response, where strict time constraints prohibit path planning in advance. The algorithm enables sensors to coordinate their movements with their direct neighbours to maximise the collective information gain, while predicting measurements at unobserved locations using a Gaussian process. It builds upon the max-sum message passing algorithm for decentralised coordination, for which we present two new generic pruning techniques that result in speed-up of up to 92% for 5 sensors. We empirically evaluate our algorithm against several on-line adaptive coordination mechanisms, and report a reduction in root mean squared error up to 50% compared to a greedy strategy.

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More information

Published date: 2009
Venue - Dates: Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence, United States, 2009-01-01
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 267268
URI: http://eprints.soton.ac.uk/id/eprint/267268
PURE UUID: 1ce3991c-69cc-43c5-b6b8-aaf2a39089a4

Catalogue record

Date deposited: 08 Apr 2009 16:40
Last modified: 18 Jul 2017 07:06

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Contributors

Author: Ruben Stranders
Author: Alessandro Farinelli
Author: Alex Rogers
Author: Nick Jennings

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