Dynamic Management Technology In Wireless Sensor Networks

Wireless sensor networks(WSN) have broad application prospects in military,environmental monitoring, business applications and other fields because of itsadvantages of low cost, low energy consumption, high fault-tolerance,Self-organization ect. WSN integrates the sensor, wireless communication anddistributed computing, and is a brand-new technology for obtaining and processinginformation. But it has the characteristics of the limited energy, the need in data fusionand localization which different from the traditional network. So many scholars athome and abroad study some technology apply to use in WSN.This paper make a study of the routing protocols, localization and the targettracking. it firstly introduced the differences dynamic management technology inWSN, then it focuses on the study of that three technologies respectively. The mainlycontribution of this thesis is included in the following four aspects:(1) Traditional routing protocols required frequently changing the cluster-head,and without considered energy factor in electing cluster-head. In order to slove thisproblem, this paper improved the wheel model and introduced auxiliary cluster-headto reduce the frequent of cluster-head changing and balanced the whole networkenergy consumption.(2) In localization based on mobile anchor node, the path of moblie anchoralong with has a great influence for positioning performance, this paper impoved thepath dynamic planning through the graph theory with optimal path to look for the thebest path.(3) RSSI and algorithm error infulence the precision positioning whenmeasured with RSSI technology, this paper introduced the weigthed model andobtained the corrected datas through localization with each anchors to reduce the errorand improve the precision.(4) Analysis the target tracking advantages and disadvantages with the linearfitting and the particle filter algorithm, this paper improved two different methodsrespectively to solve the problems of the limitations in the linear fitting and degeneration phenomenon in the particle filter, and to improve the tracking accuracy.This paper simulats the improved algorithm in MATLAB simulation platform,Meanwhile analysis the simulation rusults, verifies the validity of the proposedalgorithm, and proves the algorithm has good performance.