The ant colony optimization meta-heuristic
New ideas in optimization
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Artificial Life
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Future Generation Computer Systems
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WMCSA '99 Proceedings of the Second IEEE Workshop on Mobile Computer Systems and Applications
ARA - The Ant-Colony Based Routing Algorithm for MANETs
ICPPW '02 Proceedings of the 2002 International Conference on Parallel Processing Workshops
A high-throughput path metric for multi-hop wireless routing
Proceedings of the 9th annual international conference on Mobile computing and networking
Routing in multi-radio, multi-hop wireless mesh networks
Proceedings of the 10th annual international conference on Mobile computing and networking
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Computer Networks and ISDN Systems
POSANT: A Position Based Ant Colony Routing Algorithm for Mobile Ad-hoc Networks
ICWMC '07 Proceedings of the Third International Conference on Wireless and Mobile Communications
AntNet: distributed stigmergetic control for communications networks
Journal of Artificial Intelligence Research
Ant colony system: a cooperative learning approach to the traveling salesman problem
IEEE Transactions on Evolutionary Computation
Ant-Based systems for wireless networks: retrospect and prospects
IWSOS'12 Proceedings of the 6th IFIP TC 6 international conference on Self-Organizing Systems
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In this paper, we address the problem of packet routing for interference avoidance in infrastructure mesh networks. We propose AMIRA, an interference-aware routing protocol designed to improve load balancing by avoiding inter and intra flow interference in a typical mesh backbone network. AMIRA is based on the framework of Ant Colony Optimization (ACO) which is a meta-heuristic approach for stochastically solving a problem together with our local heuristic technique to avoid interference within and among packet flows. In AMIRA, each node uses MAC level information to measure link qualities which helps in selecting reduced interference paths thus resulting in improved load balancing in addition to the auto load balancing feature of the ACO framework. Our simulation results demonstrate that under congestion, AMIRA gives increased throughput and low end-to-end delay when compared to other existing routing protocols because of its interference aware technique and stochastic data forwarding nature.