Research On Nodes Covering Technology For Wireless Sensor Networks

Wireless sensor networks is a self-organizing distributed network system which iscomposed by a large amount of micro-sensor nodes. These sensors have low cost, powerconsumption, as well as the capabilities of perception、 computing and wirelesscommunications. Wireless sensor networks to achieve the observation and perception tothe target or environment，mainly rely on these sensor nodes sown portable perception ofthe device to complete the assigned task. This newly technology of information acquisitionwas derived from the sensor technology, wireless communication and embeddedcomputing technology. The development of MEMS technology，which improved thehumanity and nature interact.Wireless sensor nodes only guarantee coverage the effectiveness of the monitoredarea or target, in order to make the wireless sensor networks to complete the goal of thetask of monitoring and access to information. So, the problem of node coverage becomesthe core of the wireless sensor networks, it is to determine the perception of wireless sensornetworks and the key to the "perceived" quality of service can be provided. Therefore, toensure the wireless sensor nodes can be covered to all the monitoring area, controlstrategies needs to take appropriate coverage.Wireless sensor networks, to achieve the goal of energy saving, as little as possible,let the random distribution of a high density sensor node into an active working statemaybe a good way. But how to reach the target area of the maximum extent of coverageand at the same time meet the least number of working nodes node collection is still anNP-hard problem. This article is in the view of optimal selection of the working set ofnodes in the wireless sensor network. To maximizing network coverage and minimizingthe number of nodes as the network optimization goals, establishing the minimize networkredundancy, a mathematical. On this basis, proposing a genetic algorithm-based coveragecontrol optimization strategies. Under the influence of the taboo ideas, designed two taboosoperations, while effective search a local scope, to achieve optimized global research. Analysis of simulation experiments showed that the strategy to achieve the optimalselection of the working set of nodes is quickly and efficiently.Another core problem in wireless sensor network study is the optimization of thesensors nodes’ location. In some hybrid sensor network which contains a few mobile nodes,traditional virtual force guiding algorithm cannot make the mobile nodes get rid of thevirtual force bondage from fixed nodes. This could cause the defect of disable in globalcoverage optimizing. To solve these problems, the paper gives a control strategy on thecoverage of moving nodes. This strategy adopts a way of mobile nodes to make thewireless sensor network achieve the goal of dynamic restructuring on network structure,maximizing the network coverage area and enhancing its reliability. The simulativeexperiment result proves that the genetic algorithm optimized strategy enhance the entirecoverage rate of the network greatly, resolve the optimized problem of mobile nodeslocation in wireless sensor network effectively.