摘要
针对WSNs中定位技术存在的不足,提出了一种新颖的基于模糊识别的定位模型.在该模型中,定位空间被一些样本点划分为若干个相同的小区域,每一个样本点唯一地对应一个信号向量,通过计算未知点对应的信号向量与各个样本点对应向量的贴近度可以最终地确定未知点的坐标.该定位模型采用射频信号进行定位,不但避免了现有模型的误差叠加,提高了定位精度,而且避免了高计算复杂度与多参考点需求.基于NS-2的仿真结果表明该定位模型在具有较高的性能与较强的实用性.
Aiming at the shortages of localization model in WSNs,a novel localization model based fuzzy recognition is advanced.In this model,a location space is divided into several small areas by some swatch nodes;every swatch node has its unique signal vector.An unknown node＇s position can be calculated out by accounting the approach degree between swatch node＇s signal vector and unknown node＇s.This model adopts the RF signal as the foundation of localization;it can not only avoid the overlapped error in rangebased localization model,but also can avoid the high complexity and the requirement of larger number reference nodes.The result of experiments in NS-2 shows that,this model has a high performance and is more suitable for applications in WSNs.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2010年第8期1845-1851,共7页
Acta Electronica Sinica
