Application of IPF to Achieve CSR Routing in Adhoc Networks

Abstract

Wireless sensor network (WSN) comprises of sensor nodes that requires resource optimized routing techniques for efficient data collection. Since data collection consumes more energy, it is of great importance to design resource optimized routing to achieve both resource and routing efficiency together. In this work, a resource optimized routing method called Channel State Responsive Routing protocol using Intensity Probable Field (CSRR-IPF) is proposed. CSRR-IPF minimizes energy consumption and prolong network lifetime using Intensity Probable Field based on channel state. The goal of this Intensity Probable Field is to make efficient data collection at the sink node at the same time to achieve efficient routing among neighbors. The Intensity Probable Resource Optimized model limits the node movements by maximizing the minimum energy cost so that the energy of nodes in the entire network is balanced and therefore prolonging the network lifetime. With the Intensity Probable Resource Optimized model, Channel State Responsive Routing Protocol is designed that aggregates the collected data improving the routing efficiency. The performance of the proposed CSRR-IPF is evaluated in the context of energy consumption, network lifetime and routing time with respect to per node density and per data packet basis. The research results are analyzed and benchmarked against the state-of-the-art methods. Simulation results show that the algorithm show a significant improvement and extends the network lifetime, has good performance on energy balance of sensors, and prolongs the network lifetime compared with similar algorithms.