Designing Energy Routing Protocol with Energy Consumption Optimization in Cognitive Radio Networks

As the technology is progressing rapidly, the spectrum sensing and the mobility of wireless nodes have become a concern to address the issues in cognitive radio networks (CRNs). We propose an energy optimization technique by using the residual energy concept, and a new routing protocol EERP (Energy Efficient Routing Protocol) is being proposed with the terminal node to address the effects of energy resource limitations for CRN and to improvise network routing. The EERP protocol aids in selecting the optimum path from nearby nodes among potential transmission channels in the proposed work. The protocol’s local route maintenance technique will be strengthened if the path has been damaged. This intern decreases retransmission and boosts routing effectiveness even more. Additionally, by choosing the fault path as a result of energy exhaustion, this can stop the link transmission process. The low-energy adaptive clustering hierarchy (LEACH) technique has undergone a thorough investigation and comparison. Based on the results, it is concluded that the EERP can balance the load, safeguard low-energy nodes, lengthen network survival times, and further cut down on packet loss rates and data delivery packet delays.