An Energy Efficient Multiagent Middleware for Physical Complex System

Jean-Paul Jamont, Michel Occello, André Lagrèze

2005

Abstract

Open physical complex artificial systems involve wireless autonomous entities submitted to strength constrainted energetic policies. Their features naturally lead to apply multiagent techniques to ensure both the autonomy of entities and the best whole system organization. We propose a multiagent approach for wireless communication robust management for such physical system using self-organization mechanisms. We show the performances of this approach by comparison to usual wireless protocols. The genericity of our contribution is high-lighted by the proposition of a middleware layer integrated in agent. We give an insight to a real world instrumentation application using the middleware.

References

1. M. Calisti, T. Lozza, and D. Greenwood. An agent-based middleware for adaptative roaming in wireless networks. In AAMAS 2004 Workshop on Agents for Ubiquitous Computing, 2004.
2. R.S. Gray. Soldiers, agents and wireless networks: A report on a military application. In Proceedings of the Fifth International Conference and Exhibition on the Practical Application of Intelligent Agents and Multi-Agents, 2000.
3. J.-P. Jamont and M. Occello. Using self-organization for functionnal integrity maintenance of wireless sensor networks. In Proceedings of IEEE International Conference on Intelligent Agent Technology, 2003.
4. D.-B. Johnson and D.-A. Maltz. Dynamic source routing in ad hoc wireless networks. In Mobile Computing, pages 153-181. Kluwer Academic Publishers, 1996.
5. M. Mamei and F. Zambonelli. Self-organization in multi-agent systems : a middleware approach. In AAMAS 2003 Workshop on Engineering Self-Organising Systems, pages 233-248, 2003.
6. M. Occello, Y. Demazeau, and C. Baeijs. Designing organized agents for cooperation in a real time context. In Collective Robotics, volume LNCS/LNAI 1456, pages 25-73. SpringerVerlag, March 1998.
7. M. Occello and J.L. Koning. Multi-agent based software engineering: an approach based on model and software reuse. In From Agent Theory to Agent Implementation II - EMCSR 2000 Symposium, pages 645-657, Vienna, April 2000.
8. C.E. Perkins, E.M. Royer, and S. Das. Highly dynamic destination-sequenced distancevector (dsdv) routing for mobile computers. In ACM SIGCOMM'94, 1994.
9. Petriu, E.M. et al. Intelligent robotic sensor agents for enviroment monitoring. In Proceedings of IEEE International Symposium on Virtual and Intelligent Measurement Systems, pages 19-20, 2002.
10. M.J. Wooldridge, N.R. Jennings, and D. Kinny. The gaia methodology for agent-oriented analysis and design. In AAMAS, volume 3, pages 285-312. KAP, 2000.

Paper Citation

in Harvard Style

Jamont J., Occello M. and Lagrèze A. (2005). An Energy Efficient Multiagent Middleware for Physical Complex System . In Proceedings of the 1st International Workshop on Artificial Neural Networks and Intelligent Information Processing - Volume 1: ANNIIP, (ICINCO 2005) ISBN 972-8865-36-8, pages 72-81. DOI: 10.5220/0001196200720081

in Bibtex Style

@conference{anniip05,
author={Jean-Paul Jamont and Michel Occello and André Lagrèze},
title={An Energy Efficient Multiagent Middleware for Physical Complex System},
booktitle={Proceedings of the 1st International Workshop on Artificial Neural Networks and Intelligent Information Processing - Volume 1: ANNIIP, (ICINCO 2005)},
year={2005},
pages={72-81},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001196200720081},
isbn={972-8865-36-8},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Workshop on Artificial Neural Networks and Intelligent Information Processing - Volume 1: ANNIIP, (ICINCO 2005)
TI - An Energy Efficient Multiagent Middleware for Physical Complex System
SN - 972-8865-36-8
AU - Jamont J.
AU - Occello M.
AU - Lagrèze A.
PY - 2005
SP - 72
EP - 81
DO - 10.5220/0001196200720081