Genetic Algorithm Approach improved by 2D Lifting Scheme for Sensor Node Placement in Optimal Position

In this smart connected world, Sensors are scattered in the environment of interest in order to perform a surveillance monitoring activity for the target operational research. In order to cover the target, sensor node placement plays a crucial role to cover maximum target and minimum node connectivity with limited nodes. Sensor data gathering can be achieved by using important principle node connectivity. Signals in sensor network carry a large amount of data and retaining important information is often more difficult. To overcome this problem we propose a genetic algorithm based node placement the result is improved by wavelets to achieve a maximum coverage and connectivity. The experimental result is carried out to improve the quality of covered data with limited sensor in optimal positions.