Ant algorithms for discrete optimization
Artificial Life
AntNet: distributed stigmergetic control for communications networks
Journal of Artificial Intelligence Research
Overhead reduction in a distributed path management system
Computer Networks: The International Journal of Computer and Telecommunications Networking
Survey on diversity-based routing in wireless mesh networks: Challenges and solutions
Computer Communications
Opportunistic routing for wireless ad hoc and sensor networks: Present and future directions
IEEE Communications Magazine
Ant-based multipath routing for wireless mesh networks
EvoApplications'11 Proceedings of the 2011 international conference on Applications of evolutionary computation - Volume Part II
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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This paper introduces opportunistic ant-based path management for wireless mesh networks. The idea is to take advantage of the broadcast nature of the wireless medium by deferring the selection of the next-hop to the receivers of an ant. From an Ant Colony Optimization (ACO) viewpoint, the main shift is that the probabilistic forwarding decision rule is no longer executed locally at the transmitting node and in the spatial domain, but in a distributed manner among the potential forwarders and in the time domain. Early simulation results indicate that this approach improves the performance of the system in terms of convergence time, ability to adapt to changes and overhead.