A novel DEA-OR algorithm for route failure recovery in dense wireless sensor networks

Wireless sensor nodes generally have less memory and low battery life. Due to this constraint, a strong algorithm is needed which can reduce the energy consumption. Communication in wireless sensor network (WSN) depends on active number of neighboring nodes and battery power of the operating node. Factors like neighbor availability, link stability, energy and route failures directly influence network performance, for which optimization is vital. Traditional optimization techniques advise solutions that consume higher number of iterations without considering post network metrics like link stability and path cost. To address the issues of the existing energy optimization techniques, we put forward an innovative distance and energy aware optimized routing (DEA-OR) algorithm for WSNs. Considering distance as the base factor, DEA-OR algorithm gives solution for energy efficient transmission and route failure recovery. The process is of two stages: weight based neighbor selection for routing and cost-confined greedy method for route failure recovery. In this process, backtracking process of source is prevented through which overhead in neighbor selection is minimized. Our proposed algorithm minimizes energy consumption, delay and overhead thereby improvising throughput and network lifetime.