Foundations of statistical natural language processing
Foundations of statistical natural language processing
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Self-organization through bottom-up coalition formation
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
HEED: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad Hoc Sensor Networks
IEEE Transactions on Mobile Computing
Agent-organized networks for dynamic team formation
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
A utility-based sensing and communication model for a glacial sensor network
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Methods for Coalition Formation in Adaptation-Based Social Networks
CIA '07 Proceedings of the 11th international workshop on Cooperative Information Agents XI
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Evolution and sustainability of a wildlife monitoring sensor network
Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems
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Wireless Sensor Networks when deployed in inaccessible or remote areas require sensing and communication algorithms that minimise energy consumption. This is needed to reduce battery replacement costs. At the same time, the information transmitted to the sink has to be good enough in order to make timely decisions on the environmental hazards being monitored. Sensor algorithms have to thus balance quality of information with energy consumption. We introduce in this paper an algorithm that uses multiagent co-ordination technology to organize the sensors in coalitions that share the burden of sensing and communicating. We provide experimental evidence of a good balance between information quality and energy consumption on a simulated river pollution phenomenon.