CAJ | 학술논문

针对以蒙特卡罗为基础的几种无线传感器网络定位算法普遍存在定位精度和采样效率低的问题，文中提出了一种RSSI辅助的蒙特卡罗盒定位算法( RAMCB)。通过实验构造出符合实际环境的RSSI和距离区间的映射关系数据库；在定位阶段，未知节点利用来自一跳和两跳锚节点的RSSI值查询数据库，得到与一跳和两跳锚节点的距离区间，利用距离区间建立更为精确的采样箱，以提高采样效率；未知节点根据样本到一跳、两跳锚节点的估计距离和实际距离的差值来动态赋予样本的权值。仿真结果表明：RAMCB算法能有效提高定位精度和采样效率。
침대이몽특잡라위기출적궤충무선전감기망락정위산법보편존재정위정도화채양효솔저적문제，문중제출료일충RSSI보조적몽특잡라합정위산법( RAMCB)。통과실험구조출부합실제배경적RSSI화거리구간적영사관계수거고；재정위계단，미지절점이용래자일도화량도묘절점적RSSI치사순수거고，득도여일도화량도묘절점적거리구간，이용거리구간건립경위정학적채양상，이제고채양효솔；미지절점근거양본도일도、량도묘절점적고계거리화실제거리적차치래동태부여양본적권치。방진결과표명：RAMCB산법능유효제고정위정도화채양효솔。
In view of the low localization accuracy and sampling efficiency problems that generally exist in the localization algorithm based on Monte Carlo in WSN. a RSSI Assisted Monte Carlo Localization Boxed ( RAMCB) algorithm is presented. A database of the mapping between RSSI and distance scopes suited to realities is created by experiment. In the localization stage,an unknown node uses RSSI values from one-hop and two-hop anchors to query the database,then the distance scopes to one-hop and two-hop anchors are ob-tained,use the distance scopes to establish a more accurate sampling box to improve the sampling efficiency. An unknown node dynami-cally gives samples weights according to the difference between estimated distances and actual distances from samples to one-hop and two-hop anchors. The result of simulation demonstrates that RAMCB can effectively improve localization accuracy and efficiency.