Research On Model And Localization In Wireless Sensor Network

Wireless sensor networks provide a number of powerful real-world applications,whose location information for a variety of applications is extremely important.Localization algorithms which obtain location information for wireless sensor network aregenerally doing the simulation analysis first. Simulation analysis is very effective meansto improve performance of the algorithm. Currently, most wireless sensor networks areused the ideal disc model which will cause the gap between simulation performance andreal world performance. Thus creating a more realistic environment coverage model isvery important significance.We analyze the characteristics of the experimental data from the outdoor coveragemodel experiments which based on the MICA2platform. By analyzing the characteristicsof the experimental data，the previous model is not considered with respect to thecoverage area of the center of the polar coordinate deviation problem, proposed based onthe amount of deviation of the outdoor coverage model ADCM Model. The use of thecollected measured data comparison shows that the proposed model can well reflect thefluctuations in the measured data.In addition, the practical application of the unknown nodes are generally deployedless sparse and the number of anchor nodes, then the number of nodes for a certain timewhen the anchor, how to increase the number of nodes can be positioned and positioningaccuracy of the problem, this paper proposes RWCL and analysis performance, which notonly has the advantage of simplicity of weighted centroid algorithm execution, but alsoused the neighbor nodes information in the network. This paper analyzes RWCL algorithmpositioning performance in the shadow fading model and gets the error theoreticalderivation.