Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
The ant colony optimization meta-heuristic
New ideas in optimization
ARA - The Ant-Colony Based Routing Algorithm for MANETs
ICPPW '02 Proceedings of the 2002 International Conference on Parallel Processing Workshops
LOTTO: group formation by overhearing in large teams
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
LCN '05 Proceedings of the The IEEE Conference on Local Computer Networks 30th Anniversary
A Self-Organization Process for Communication Management in Embedded Multiagent Systems
IAT '07 Proceedings of the 2007 IEEE/WIC/ACM International Conference on Intelligent Agent Technology
Flood decision support system on agent grid: method and implementation
Enterprise Information Systems
Secure Health Monitoring Network against Denial-Of-Service Attacks Using Cognitive Intelligence
CNSR '08 Proceedings of the Communication Networks and Services Research Conference
AntNet: distributed stigmergetic control for communications networks
Journal of Artificial Intelligence Research
An energy-efficient ant-based routing algorithm for wireless sensor networks
ANTS'06 Proceedings of the 5th international conference on Ant Colony Optimization and Swarm Intelligence
Implementation of ant colony algorithm based-on multi-agent system
ICCNMC'05 Proceedings of the Third international conference on Networking and Mobile Computing
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The Multi-Wireless-Agent-Communication (MWAC) model uses a multiagent self-organization process through to manage communications in wireless sensor networks. This paper presents a first improvement of the MWAC model using an ant colony optimization. We introduce the use of ant colony optimization in the context of multiagent systems and wireless sensor networks. Ants are not simply deployed on the multiagent society. Each ant interacts with agents to obtain the best compromise on the routes choice to enable a reliable communication.