Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Agent-Based, Energy Efficient Routing in Sensor Networks
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Agents for Wireless Sensor Network Power Management
ICPPW '05 Proceedings of the 2005 International Conference on Parallel Processing Workshops
Wireless Sensor Networks: Technology, Protocols, and Applications
Wireless Sensor Networks: Technology, Protocols, and Applications
Data Aggregation Scheme for a Multi-Application WSN
MMNS 2009 Proceedings of the 12th IFIP/IEEE International Conference on Management of Multimedia and Mobile Networks and Services: Wired-Wireless Multimedia Networks and Services Management
Crisis management using MAS-based wireless sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
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The multi-agent approach has been proposed in the literature as a solution for data gathering, and routing in Wireless Sensor Networks (WSNs). In these propositions, the knowledge of an agent is generally limited to a single parameter such as the energy of the sensor node and/or to the address of its next hop in a routing protocol proposition. In this paper, we propose a strategy for the agent to make a more appropriate decision to cooperate or not in a data gathering session. This strategy uses, in addition to the energy of the node, several parameters from the local view of the agent as the position of the node within the network, the network density, and the information importance degree. Through successive simulations, this strategy has proved its ability to manage cleverly the power consumption of the sensor nodes and hence to extend the WSN life time.