Reliable and energy aware routing protocols for wireless sensor networks
SoftCOM'09 Proceedings of the 17th international conference on Software, Telecommunications and Computer Networks
A biochemical approach to adaptive service ecosystems
Information Sciences: an International Journal
A utility-based adaptive sensing and multihop communication protocol for wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 3 - Volume 3
Sensor placement and coordination via distributed multi-agent cooperative control
Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments
Fading-aware reliable and energy efficient routing in wireless sensor networks
Computer Communications
Self-organising sensors for wide area surveillance using the max-sum algorithm
SOAR'09 Proceedings of the First international conference on Self-organizing architectures
Journal of Network and Computer Applications
Bounded approximate decentralised coordination via the max-sum algorithm
Artificial Intelligence
Benchmarking hybrid algorithms for distributed constraint optimisation games
Autonomous Agents and Multi-Agent Systems
Agent-mediated multi-step optimization for resource allocation in distributed sensor networks
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Autonomous Agents and Multi-Agent Systems
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Journal of Ambient Intelligence and Smart Environments - Intelligent agents in Ambient Intelligence and smart environments
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Wireless sensor networks are increasingly seen as a solution to the problem of performing continuous wide-area monitoring in many environmental, security, and military scenarios. The distributed nature of such networks and the autonomous behavior expected of them present many novel challenges. In this article, the authors argue that a new synthesis of electronic engineering and agent technology is required to address these challenges, and they describe three examples where this synthesis has succeeded. In more detail, they describe how these novel approaches address the need for communication and computationally efficient decentralized algorithms to coordinate the behavior of physically distributed sensors, how they enable the real-world deployment of sensor agent platforms in the field, and finally, how they facilitate the development of intelligent agents that can autonomously acquire data from these networks and perform information processing tasks such as fusion, inference, and prediction.