The Research On Mobile Target Coverage Based On Video Sensor Network

Wireless sensor networks have emerged along with sensor technology, embedded technology, wireless communication technology, which is limited by the energy of sensor node multi-hop manner through self-organized into a network, while the nodes with data computing and the basic communication capabilities. Coverage control is a hot issue in wireless sensor networks studied, but also to monitor the application of wireless sensor network target the basic theory. Randomly deployed wireless sensor networks, network coverage controlled through topology control, scheduling nodes in working state and other means to improve the performance of network coverage, reduce network costs. It can be said that network coverage control algorithms directly determine the merits of monitoring the network quality and network lifetime. In traditional sensor networks, control technology covered by scholars from various countries on the more theoretical studies, has accumulated a wealth of research results. But in recent years, with the new video sensor networks, the emergence of the perception of its nodes have a directional sense of the data than large data processing capability of nodes the resource requirements of a higher number of new features, the existing coverage of the theory can not be effectively applied, is an urgent need for us to design a new sensor network coverage control methods. Paper presented at a specific network model, surrounded by video sensor network nodes perceptual model, covering key issues such as control and the deployment of in-depth research, focus on the video sensor networks, a static target coverage, moving target coverage and optimal deployment of several problems. To address the above issue, the corresponding models and algorithms, and gives analysis and simulation. This paper studies the following:(1) The perception of depth analysis the sensor network in the perceptual model, and uses 0-1 perceptual model as the basis for this study; for different coverage types, in-depth study coverage a variety of typical control algorithms and the related deployment of the basic theory, for subsequent be based on research;(2) Sensor network for video coverage of a static target, based on GridScan algorithm, experimental analysis covering the quality and the number of nodes in the grid into the relationship between particle size presents a node in the deployment of strategies, in the initial random deployment is complete, computing network coverage quality, and to identify the biggest blind spot coverage, to deploy a new node on this spot, loop this process until the quality of network coverage to meet the established requirements; (3) A moving target sensor network for video coverage of the fence issue, a minimum exposure path search algorithm is proposed; based on grid segmentation of the ideas will be calculated after the network coverage maps weighted value of the undirected graph, using Dijkstra Shortest Path Search algorithm to find minimum exposure paths;(4) Based on the minimal exposure path, and propose measures aimed at improving the quality of network coverage node re-deployment method.