Research On The Optimization Method Based On Grid Of The Node Coverage In WSN

The application of the wireless sensor networks(WSN) in real scene, it realizes the collection of the remote data, Which reduces the cost of the labor and broadens the way to know the world. The wireless sensor networks has been widely applied to various fields,such as : the military, environmental monitoring, natural disaster forecast,smart home, etc.The deployment of the wireless sensor networks(WSN) and its application need to be highly correlated.So according to the characteristics of the practical application, we need to design the special algorithm of the node deployment.That is to say,the research of the coverage algorithm is one of the basic research in wireless sensor networks(WSN).This paper analyzes the scenario in the practical application. According to the feature of the distribution of targets in monitoring area,we put forward to use the sliding window to scan the monitoring area in order to find the subarea,which contains the most number of the uncovered targets.We can get the square area of the candidate deployment in the center of the sliding window.Through scanning the grid in the subarea,we can get the best location of the node deployment.The algorithm in this paper is compared with the algorithm in the literature[21],the scale of the problem is much smaller, and it improves the execution of the algorithm effectively.For the application of the wireless sensor networks,In this paper,we put forward the algorithm of the node deployment in the surface of three dimensional.According to the feature of the scene in the deterministic deployment,the environment of the scenario needs to be friendly, and it can be artificial arrival. Thus the topography of 3D surface in the local area appears to be relatively stable.The local area of 3D surface can be seen as a certainslope of the two-dimensional plane. We put forward the contour model on the basis of the digital elevation model.According to the certain conditions, we can divide the areas similar in slop and gradient to achieve the deployment of node in wireless sensor networks.