Evolution Techniques for Reliability of Wireless Sensor Network

-The advancement of technologies has made it possible to produce tiny wireless sensor devices. These sensors are group together so that their coverage can be maximized. In this paper, we propose the various techniques like closest point approach (CPA), clustering, aggregation. Various sensor nodes are distributed around center point. Each sensor nodes give information signal message to center point node. In CPA technique, each sensor node has different signal strength. We investigate signal strength of each sensor node at different radius distance. In clustering technique, we add many cluster wireless sensor network to main wireless sensor network. Since this allows for more than one cluster to track the same region the system reliability is greatly improved. We investigate signal strength when we add new cluster of wireless sensor network. In aggregation technique, we are increase or decrease the numbers of sensor node. Then we investigate signal strength, when we increase or decrease the no. nodes. We make various type models of wireless sensor network for the closest point approach, clustering and aggregation techniques. Using these structures of wireless sensor networks, we investigate the view results, comparison of various networks, simulation of sensor network, delay of signal strength, traffic, memory usage etc. We compare the result of various graph of various shape model of wireless sensor network.