Research On Coverage Technology In WSN Application

With the rapid development of IoT and Internet Technology, Wireless Sensor Network(WSN) develop rapidly, meanwhile the sensors tend to be networked and intelligent. The wide application of WSN technology promotes research on coverage problem in WSN. Effective coverage can facilitate WSN application. The research on coverage problem in WSN includes determinate coverage and random coverage. The former research on how to use the least amount of nodes to cover monitoring area by artificial deployment. The latter research on deployment in dangerous monitoring environment, such as volcano, radiation area, toxic chemical area and so on. Although these places are difficult to reach for humans, random deployment could be one of the solutions. But during random deployment, monitoring area properly forms blind zone and overlap zone. In this paper, the random deployment problem in wireless sensor network is studied.1. This article presented three-dimensional coverage algorithm based on virtual force in sensor network(3D-CAVF), the algorithm is used to solve the non-uniform coverage problem in wireless sensor network. Many cases need to be taken into account during random deployment in Wireless Sensor Network: Uniform deployment should be launched in the monitoring area if all the objects should be monitored; while non-uniform deployment is launched if certain spicy need to be monitored precisely,because in this condition uniform deployment is not effective. In 3D-CAVF algorithm the sensor nodes cover events automatically through the virtual force to match the sensor nodes density with the events density. The experiment analysis shows that the algorithm can solve the non-uniform coverage problem in wireless sensor network effectively.2. 3D-CAVF application in the intelligent fire monitoring system of the Qilianshan Nature Reserve. In the intelligent fire monitoring system of Qilianshan Nature Reserve data acquisition is launched on some environmental factors such as temperature,humidity, rainfall, wind speed and so on. After the storage and analyzation of collected data, the expected final information is obtained. The intelligent fire monitoring system can inspect real-time information, give the fire alarm, release related information and so on. These functions are all based on the raw data collected by sensor nodes. It's critical that how the sensor nodes cover the Qilianshan Nature Reserve. 3D-CAVF application in the Qilianshan Nature Reserve intelligent fire monitoring system can make sensornodes deployment more effective in high vegetation coverage area so as to match the sensor node density with the vegetation coverage condition.