An Enhanced Routing Technique to Improve the Network Lifetime of Cognitive Sensor Network

In terms of using the technology Cognitive Radio, a Sensor Network (CSN) is varied from conventional Wireless Networks (WSNs). According to interaction with surrounding environment, transmitter parameters can be modified in sensor nodes CSN adaptively. CSNs, routing one important components. Based on capability spectrum-aware, schemes CSNs are district other networks. The changeable spectrum resource dynamically should understood by scheme establish path reliable forwarding adjustment policy an essential thing but still not well-explored problem CSNs. Packet drops due unavailability and buffer overflows seriously affects connectivity nodes. whole network’s lifetime data delivery rate impacted prolonging packet drops. To increase nodes’ lifetime, addressing this drawback phase done. Before making decisions, new technique proposed named as Drop factor based energy efficient use drop ratio power dissipation metric links. With total number users path, computed. Power calculated transmitted packets versus amount consumed energy. This method reduces avoiding high being participating process. It always ensures that would handled low dropping nodes, thus improved. achieves delay 25%, throughput 326 kbps, consumption 13%. Routing overhead 43% for 1000