Max-Sum Decentralised Coordination for Sensor Systems


Teacy, W. T. L., Farinelli, A., Grabham, N. J., Padhy, P., Rogers, A. and Jennings, N. J. (2008) Max-Sum Decentralised Coordination for Sensor Systems. In, 7th International Conference on Autonomous Agents and Multiagent Systems, Estoril, Portugal, 12 - 16 May 2008. , 1697-1698.

Download

[img] PDF
Download (386Kb)

Description/Abstract

A key challenge for the successful deployment of systems consisting of multiple autonomous networked sensors is the development of decentralised mechanisms to coordinate the activities of these physically distributed devices in order to achieve good system-wide performance. Such mechanisms must act in the presence of local constraints (such as limited power, communication and computational resources) and dynamic environments (where the topology, constraints and utility of the sensor network may change at any time). We propose the use of message passing techniques based on the max-sum algorithm to address this challenge, and in this paper, we demonstrate its use in two different settings. We first present a software simulation where our max-sum decentralised coordination algorithm is used to coordinate sectored radar sensors tracking multiple moving targets (see the ARGUS II DARP project — http://www.ecs.soton.ac.uk/research/projects/ARGUS). We then present a hardware implementation of the same algorithm that performs decentralised graph colouring — an intermediate step towards deploying the algorithm to coordinate the sleep/sense cycles of a network of low-power embedded sensors (see the DIF DTC — Adaptive Energy-Aware Sensor Networks project — http://www.ecs.soton.ac.uk/research/projects/AEASN).

Item Type: Conference or Workshop Item (Paper)
Additional Information: Event Dates: 12th-16th May 2008
Related URLs:
Keywords: sensor network, decentralised coordination, max-sum algorithm
Divisions: Faculty of Physical Sciences and Engineering > Electronics and Computer Science > EEE
Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Agents, Interactions & Complexity
ePrint ID: 266852
Date Deposited: 31 Oct 2008 10:17
Last Modified: 27 Mar 2014 20:12
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/266852

Actions (login required)

View Item View Item

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics