Optimized and Energy Efficient Data Dissemination Technique for D2D Communication in Wireless Networks

Abstract

            In wireless sensor networks, this exhaustion of energy will be more due to its infrastructure less nature and mobility. This may lead a node to drain their energy and also affect the performance of routing protocol and network lifetime. Several researches have gone so far for predicting node lifetime and link lifetime.  To address this problem a new algorithm has been developed which utilizes the network parameters relating to dynamic nature of nodes viz.  energy  drain  rate,  relative  mobility  estimation  to predict  the  route  lifetime. But this has given a problem of network congestion and delay. To mitigate this problem in this paper, we proposed a particle swarm optimization based routing (PSOR). PSOR algorithm is designed to maximize the lifetime of WSNs. The algorithm uses a good strategy considering energy levels of the nodes and the lengths of the routed paths. In this paper, we have compared the performance results of our PSOR approach to the results of the Genetic algorithm.  Various  differently  sized  networks  are  considered,  and  our  approach gives better results than  Genetic  algorithm in terms of energy  consumption. The main goal of our study was to maintain network life time at a maximum, while discovering the shortest paths from the source nodes to the base node using a particle swarm based optimization technique called PSO.Particle  Swarm  Optimization  based Routing  protocol (PSOR ) where we have taken energy efficiency as major criteria for performing routing and deriving  optimized  path for  data  forwarding  and  processing to  base  node.  The  PSOR  generates  a  whole  new  path  of  routing by taking energy as fitness value to judge different path and choose best optimized path whose energy  consumption is less as compared to other routing paths.