Max-sum decentralised coordination for sensor systems

Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS

Volumn 3, Issue , 2008, Pages 1649-1650

  Teacy, W T L ^a   Farinelli, A ^a   Grabham, N J ^a   Padhy, P ^a   Rogers, A ^a   Jennings, N R ^a  

^a UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

Author keywords

Decentralised coordination; Max sum algorithm; Sensor network

Indexed keywords

ALGORITHMS; AUTONOMOUS AGENTS; COMPUTER SOFTWARE; HARDWARE; LOW POWER ELECTRONICS; MULTI AGENT SYSTEMS; SENSOR NETWORKS;

COMPUTATIONAL RESOURCES; COORDINATION ALGORITHMS; DECENTRALISED; DISTRIBUTED DEVICES; DYNAMIC ENVIRONMENTS; HARDWARE IMPLEMENTATIONS; MAX-SUM ALGORITHM; SOFTWARE SIMULATION;

UNATTENDED SENSORS;

EID: 84899898960     PISSN: 15488403     EISSN: 15582914     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (4)

1. A. Farinelli, A. Rogers, A. Petcu, and N. R. Jennings. Decentralised coordination of low-power embedded devices using the max-sum algorithm. In Proceedings of the Seventh Internation Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), Estoril, Portugal, 2008. In press.
2. S. Fitzpatnck and L. Mectrcns. Distributed Sensor Networks A multiagent perspective, chapter Distributed Coordination through Anarchic Optimization, pages 257-293. Kluwer Academic, 2003.
3. D. MacKay. Good error-correcting codes based on very sparse matrices. IEEE Transactions on Information Theory, 45(2):399-431, 1999.
4. y. Weiss and W. T. Freeman. On the optimality of solutions of the max-product belief propagation algorithm in arbitrary graphs. IEEE Transactions on Information Theory, 47(2):723-735, 2001.