【摘要】：為進一步提高無線傳感器網(wǎng)絡(luò)(WSN)的定位精度,對錨節(jié)點分布與網(wǎng)絡(luò)定位精度之間的關(guān)系進行研究,提出一種新的基于"聚集-共線度"(DAC)和"節(jié)點度"(ND)的錨節(jié)點選擇算法——DAC-ND。首先,通過實驗分析得出錨節(jié)點在共線分布和集中分布時對定位精度影響較大;然后,經(jīng)過對基于共線度的錨節(jié)點選擇算法進行分析和比較,發(fā)現(xiàn)現(xiàn)有的基于最小角和最小高的兩類錨節(jié)點共線度算法(DC-A和DC-H)均存在不足;最后,綜合這兩類算法的優(yōu)勢提出一種新的基于"聚集-共線度"的概念,并結(jié)合"節(jié)點度"提出DAC-ND錨節(jié)點選擇算法。通過Matlab仿真實驗得出,與錨節(jié)點隨機選擇算法相比,DAC-ND算法可大幅降低平均定位誤差(54%~73%);與基于最小角和最小高的共線度選擇算法等相比,采用DAC-ND算法平均定位誤差可分別降低15%~23%和12%~23%。實驗結(jié)果表明,DAC-ND算法相比DC-A和DC-H能夠獲得更高的定位精度,從而驗證了DAC-ND算法的有效性。
[Abstract]:In order to further improve the positioning accuracy of wireless sensor network (WSN), the relationship between anchor node distribution and network positioning accuracy is studied. A new anchor node selection algorithm based on "aggregation collinearity" (DAC) and "node degree" (ND) is proposed. DAC-ND. First of all, through the experimental analysis, it is concluded that the anchor node has a great influence on the positioning accuracy when the collinear distribution and centralized distribution are used. Then, through the analysis and comparison of the anchor node selection algorithms based on collinearity, it is found that the existing two kinds of anchor node collinearity algorithms (DC-A and DC-H) based on minimum angle and minimum height have shortcomings. Finally, based on the advantages of these two algorithms, a new concept based on "aggregation-collinearity" is proposed, and a DAC-ND anchor node selection algorithm is proposed combined with "node degree". The Matlab simulation results show that compared with the random anchor node selection algorithm, the DAC-ND algorithm can greatly reduce the average positioning error (54% 鈮，

本文編號：2481126