An energy spreading technique for cognitive radio networks

This paper presents a novel cognitive radio network architecture that optimizes information routing to preserve battery capacity while maintaining an acceptable signal quality. This is implemented via the monitoring of current link quality and battery levels of the nodes within the network and by performing a routing algorithm to optimize the signal quality of the links and the battery life of the nodes. A weight-based modification of Dijkstra´s algorithm and a rank-based routing algorithm that calculated and maximized the node´s battery lives were implemented. Experimental results show that the network performs the entire optimization process successfully 87.5% of 40 test trials.