Energy efficient path identification in wireless sensor networks

Abstract

Wireless sensor network consists of spatially distributed autonomous devices using sensors to monitor various conditions. There are many issues concerned with wireless sensor networks, namely routing to save energy, fault tolerance, production cost, scalability, data aggregation, security and quality of service. Since the network life time depends on power consumption, energy is considered as an important issue. The proposed work aims at overcoming the energy issue by finding the faulty nodes and choosing the probability based optimal path between source and sink. Based on Bayesian rule of probability, joint probability is calculated at each node by considering the parameters like distance between nodes, bandwidth and energy. Path is selected by considering the nodes which are having more energy, large bandwidth and less distance. To test the performance effectiveness of the scheme, we have analyzed the performance parameters like node deployment, throughput and latency.