A novel Network architecture for Cognitive Wireless Sensor Network

Recent advances in wireless communications and electronics have enabled the development of low cost, low power, multi-functional sensor nodes that are small in size. These nodes coordinate to perform distributed sensing in various fields such as health, military, home etc. But these small devices in Wireless Sensor Network (WSN) are still limited with some constrains, and efforts are required to increase the lifetime and other performance measures of the network. On the other hand, with recent advances in Cognitive Radio (CR) technology, it is possible to apply the Dynamic Spectrum Access (DSA) model in WSNs to get better throughput, even in congested spectrum along with better propagation characteristics. This paper proposes a novel architecture for Cognitive-WSN which consists of a Forest of Distributed Minimum Spanning Trees. Paper also shows that this multilevel network provides fault tolerance, admits simple routing, and offers easy extensibility with power efficiency.