Research On Node Localization In The Frightening Animal System For Wireless Sensor Networks

In recent year, Wireless Sensor Network (WSN) is quickly developed with the sensor, microelectronics, embedded computing and communications technological progress .it becomes a new filed of the computer science, which can be widely used in military, industrial controla, environmental, medical, and so on. It is a large number of tiny sensor nodes dispenser-intensive in the monitoring region, through wireless communication network to form self-organizing system; the data will be collected to send to the user. In many applications, determining the positions of sensor nodes is the important requirements.only knows the positions of sensor nodes; the collection of data has the practical value. So how to know the sensor node positions is an important issue in wireless sensor networks.This paper as the background of the national"863"project ---"Inteligent wireless sensor network based on the digital produce bio-acoustic of the frightening system against agriculture predators and its key technology platform", provides the model of the bio-acoustic frightening system against agriculture predators.build the structure of the system. In this paper, we detailed design a wireless sensor network platform both in the structure of hardware and system software, analysis the characteristics of the position of the sensor node in wireless sensor network, proposed mobile anchor node position basedon weighted multidimensional scaling, This thesis will accomplish the following researching works:System: The system mainly contains detection node, actuator node and central contaoller.we design the hardware and develop the software on each node, to achieve the function of the bio-acoustic frightening system. The detection node reported the information to the central controller through wireless communication, and then used the intelligent bio-acoustic frightening system to accomplish intelligent repelling against different agricultural predators.Node position: Considering that the node positioning algorithm of wireless sensor network has shortages on localization precision. proposed Mobile Anchor Node Localization Based on Weighted-multidimensional Scaling; the algorithm samples the tracks of mobile anchor, adds the virtual anchor, and then computes the approximate matrix of dissimilarity matrix by use of singular value decomposition. Using the weighted-multidimensional scaling algorithm to estimates the position of the node...