Two Layers Stages Approaches for Lifetime Improvement in Wireless Sensor Network

computer science and engineering

Node placement in the objective area is one of the most critical issues in wireless sensor networks and their deployment should be cost effective. The deployment cost depends upon the number of sensing devices deployed. Multi objective originations are real models for many complex engineering optimization problems. Multi-objective optimization problems may require a set of Pareto-Optimal points in the search space, instead of a single point. However, the WSN is a based on cluster, the cluster heads (CHs) absorb more energy due to extra work load of accepting the data aggregation, sense data and transmission of combined data to the base station. We proposed two layers stages approaches for lifetime improvement in wireless sensor network. We compare the performance of MOGA with DE with fitness function that has the objective minimizing the intra-cluster distance and optimize the energy consumption of network. We include a local development phase to the traditional DE for faster concurrence and better performance of our proposed algorithm. The experimental results determined the productivity of the proposed algorithm in terms of network life, energy consumption and connectivity.

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