Energy Aware Routing in Next Generation Wireless Networks Using Efficient Resource Allocation

In last few years because of hick in application of WSNs, it have been in light of the researchers. Sensor node run on limited battery power so numbers of researchers are attempting to increase the lifetime of the WSN by minimizing theper node energy utilization as well as efficiently used by the sensor nodes. To address this issue of spectrum underutilization in wireless network, Cognitive radio (CR) methodology is used, supporting multimedia applications based on cognitive radio sensor networks (CRSNs) with energy and spectrum constraints is a highly daunting task. The main goal in designing the routing protocols for the cognitive radio network merges the design of routing as well as spectrum management which will jointly overcome the formidable limitations of energy as well as spectrum. In the present system the users those are near to the cluster heads (cell center users) have higher frequency range than the users those are at a long distance from the cluster head (cell edge users). So the cell center users gets high amount of resources also the cell edge users gets limited amount of resources. In proposed algorithm we computed a weighted SNR value for every user as well as depending on the computed value cluster head allocates resources to the users. For cluster head selection, the energy spectrum value of every node in the cluster is computed. The node with largest energy spectrum value is considered as cluster head. Proposed system jointly solves the formidable limitations of energy as well as spectrum.