Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Ant algorithms for discrete optimization
Artificial Life
Routing in multi-radio, multi-hop wireless mesh networks
Proceedings of the 10th annual international conference on Mobile computing and networking
Guest Editorial - Adaptive, spectrum agile and cognitive wireless networks
IEEE Journal on Selected Areas in Communications
Routing in Distributed Cognitive Radio Networks: A Survey
Wireless Personal Communications: An International Journal
Reconfiguration Decision Making Based on Ant Colony Optimization in Cognitive Radio Network
Wireless Personal Communications: An International Journal
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Cognitive radio (CR) is a revolution in radio technology. Cognitive radio networks (CRN) is featured by the dynamic spectrum sharing of the secondary nodes coexisting with the primary nodes. Secondary nodes in cognitive radio networks (CRN) need the ability to work on different frequency bands and intelligently adjust their configuration to changes in the communication environment. It is a complicated and challenge task. So the routing protocol of CRN is different from that of traditional wireless network. In this paper, we propose a new routing protocol which does not need common control channel in CRN. This scheme applies swarm intelligence into CRN routing protocol. It can find out the route, which has minimum delay from source to destination, utilizing a routing cost function. The cost function takes into account many kinds of delay simultaneously. Simulation result shows that the proposed routing algorithm can effectively reduce the cumulate delay.