Coverage Maximization using Multi-Objective Optimization Approach for Wireless Sensor Network in Real Time Environment

The most important issue of Quality of Service is network connectivity and coverage of sensing in the design of Wireless Sensor Network. The target area is monitoring or tracking by the sensors, called as coverage. Where the human intrusion is difficult or impossible in a hostile environment then the sensors are dropped by airplanes. In this situation sensors cannot be same in the whole area, therefore some area may be covered or uncovered and some sensors may be overlapped. These redundant sensors improve coverage and connectivity, but increase energy depletion. Monitoring of the coverage holes is an important task because of their harmful and denying effect on the WSNs. In the present paper, we have proposed a model to extend the network lifetime and maximum coverage rate using multi-objective optimization approach. This model can achieve maximum coverage, minimum energy consumption and maximize network lifetime. This paper considers non-dominated sorting genetic algorithm (NSGA-II) for optimizing coverage problems. The results of the simulation show that the proposed method can improve the coverage probability and lifetime of the network at the same time can maintain the connectivity of the network.