ECEA-MH: AN EFFICIENT ENERGY-COST, ENERGY-AWARE MULTIHOP ROUTING PROTOCOL FOR MAXIMIZING NETWORK LIFETIME IN WIRELESS SENSOR NETWORKS
Network Lifetime of a Wireless Sensor Network is a vital and considered it as a prime parameter. This is also one of the performance metrics to measure the performances of WSNs. In other words, the recently proposed existing Hierarchical Routing Protocols suffering from the premature death of overloaded sensor Nodes which affect the Network’s Lifetime. This research work implemented the existing two popular routing techniques namely, Particle Swarm Optimization (PSO) based Low-Energy First Electoral Multipath Alternating Multihop (LEMH) and Grey Wolf Optimizer (GWO). The experimental results of the above mentioned routing protocols were studied thoroughly in terms of Network Life Time, Residual Energy, Throughput, and Average End-to-End Delay. From the experimental results and analysis, this work noticed that the Particle Swarm Optimization (PSO) based Low-Energy First Electoral Multipath Alternating Multihop (LEMH) is performing well in terms of Network Life Time, Residual Energy, Throughput, Average and No. of Surviving Nodes whereas the Grey Wolf Optimizer (GWO) is performing well in term of End-to-End Delay. It was observed that no one Routing techniques were much suitable to improve Network Performances. To address this identified issue, an efficient Energy-Cost, Energy-Aware Multihop Routing Protocol (ECEA-MH) is proposed. The proposed Routing Scheme is developed to avoid overloading the Nodes, and it adaptively changes the contention radius of the Cluster with the topology. This Model combines the remaining energy to vote for those participating in the cluster heads election process. Then, the running Nodes decide the final Cluster Head. This proposed Energy-Cost, Energy-Aware Multihop Routing Protocol (ECEA-MH) is implemented and studied thoroughly. The experimental results of the proposed ECEA-MH is studied in terms of Network Life Time, Residual Energy, Throughput, and Average End-to-End Delay and noticed that it is outperforming as compared with the that of LEMH and GWO.
Wireless Sensor Networks, Performance, Multihop Routing, Multipath Routing, Energy Aware Routing