激光杂志
激光雜誌
격광잡지
LASER JOURNAL
2014年
12期
128-131
,共4页
无线传感网络%单锚节点%节点定位%RSSI测距
無線傳感網絡%單錨節點%節點定位%RSSI測距
무선전감망락%단묘절점%절점정위%RSSI측거
Wireless sensor network%single anchor node%node localization%RSSI ranging
节点定位是无线传感器关键技术之一,针对固定多锚节点方法定位精度低的缺陷,为了提高无线传感器的定位精度,提出了一种基于改进单锚节点的无线传感器网络节点定位算法( SFOA-SVM )。首先采用单移动锚节点在无线传感器网络中移动,构建无线传感器定位模型的学习样本,然后采用SVM构建节点定位模型,并采用渔夫捕鱼算法模拟渔夫捕鱼行为找到最优SVM参数,最后采用仿真实验测试节点的定位性能。结果表明,相对于其它定位算法,SFOA-SVM提高了无线传感器节点的定位精度,具有一定的实际应用价值。
節點定位是無線傳感器關鍵技術之一,針對固定多錨節點方法定位精度低的缺陷,為瞭提高無線傳感器的定位精度,提齣瞭一種基于改進單錨節點的無線傳感器網絡節點定位算法( SFOA-SVM )。首先採用單移動錨節點在無線傳感器網絡中移動,構建無線傳感器定位模型的學習樣本,然後採用SVM構建節點定位模型,併採用漁伕捕魚算法模擬漁伕捕魚行為找到最優SVM參數,最後採用倣真實驗測試節點的定位性能。結果錶明,相對于其它定位算法,SFOA-SVM提高瞭無線傳感器節點的定位精度,具有一定的實際應用價值。
절점정위시무선전감기관건기술지일,침대고정다묘절점방법정위정도저적결함,위료제고무선전감기적정위정도,제출료일충기우개진단묘절점적무선전감기망락절점정위산법( SFOA-SVM )。수선채용단이동묘절점재무선전감기망락중이동,구건무선전감기정위모형적학습양본,연후채용SVM구건절점정위모형,병채용어부포어산법모의어부포어행위조도최우SVM삼수,최후채용방진실험측시절점적정위성능。결과표명,상대우기타정위산법,SFOA-SVM제고료무선전감기절점적정위정도,구유일정적실제응용개치。
Node localization is the key technology of the wireless sensor network, multi-anchor nodes localization algorithm exists low precision, In order to improve location precision of sensor nodes, a novel node localization method based on improve single anchor node is proposed in this paper,, Firstly, a single mobile anchor node is moved in the wireless network, and the study samples are constructed for nodes localization model, and then SVM is used to build node localization model in which fisher fishing behavior are simulated to find the optimal parameters of SVM, and final_ly the performance is tested by simulation experiment. The results show that, compared with other localization method, the proposed method can improve the precision of the sensor nodes and it has some practical application values.
