Optimal deployment of sensor nodes in mobile sensor networks directly influences energy consumption of the network

surveillance ability of the monitoring area and network lifetime.The deployment problem is modeled as a multi-objective optimization model in terms of network coverage and energy consumption

a genetic algorithm based solution for sensor deployment is then proposed in a centralized manner.We evaluate our approach by applying it to a certain kind of initially central deployment model

and compare its performance with that of Vector based algorithm

Voronoi based algorithm and Boundary expansion with virtual force algorithm

and the simulation results show that the proposed algorithm achieves the maximum coverage

while guarantees network connectivity and the minimum energy consumption

which thereby prolongs the network lifetime.