A Multiobjective Coverage and Connectivity Strategy for Improving the Performance of Wireless Sensor Networks

The demand for Wireless Sensor Networks (WSN) has motivated the researchers to obtain energy optimized solutions, because of the constraint on the limited use of energy in these networks. In WSN, apart from energy optimization there are many other areas such as, coverage of the target area and the connectivity of the network for data routing, which attract the attention of researchers for optimization so that the performance of WSN can be improved significantly. These areas provide large scope for optimization to enhance the lifetime of WSNs. This paper provides a multiobjective approach for the optimization of problems of target area coverage and network connectivity for data routing in WSN. Keywords— Energy Efficient Routing, Energy Balance, Network Coverage, Network Lifetime, Genetic Algorithm