CAJ | 학술논문

为有效抑制复杂环境对无线传感器网络节点定位精度的影响,在三边定位的基础上,基于移动锚节点和节点之间的模糊信息,提出一种三维空间中的节点定位算法( MANLFI)。该算法通过测量锚节点和未知节点的方向角、俯仰角实现节点定位,每轮定位结束后更新锚节点的速度和方向,节点被定位后充当静态锚节点对其他节点定位。仿真实验结果表明,与APIT-3D和Bounding cube算法相比,MANLFI算法可提高节点定位精度和网络稳定性,且时延短、能耗低。
위유효억제복잡배경대무선전감기망락절점정위정도적영향,재삼변정위적기출상,기우이동묘절점화절점지간적모호신식,제출일충삼유공간중적절점정위산법( MANLFI)。해산법통과측량묘절점화미지절점적방향각、부앙각실현절점정위,매륜정위결속후경신묘절점적속도화방향,절점피정위후충당정태묘절점대기타절점정위。방진실험결과표명,여APIT-3D화Bounding cube산법상비,MANLFI산법가제고절점정위정도화망락은정성,차시연단、능모저。
In order to effectively reduce the influence of the complex environment factors having on node localization accuracy in Wireless Sensor Network(WSN),this paper proposes a node localization algorithm in three-dimensional space based on the mobile anchor node and the fuzzy information among the nodes. The node localization is determined by measuring direction angle and pitch angle. The algorithm updates the speed and direction of anchor node and the located nodes act as the static anchor nodes to localize other nodes. Simulation results show that the algorithm improves the accuracy of node localization and lower the delay and energy consumption of networks compared with the APIT-3D and Bounding cube algorithms.