摘要
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,相对于其他定位算法,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。
Node localisation is one of the key technologies in wireless sensor network. Aiming at the defect of fixed multi-anchor nodes method in low localisation precision, and in order to improve the localisation precision of wireless sensor, in this paper we propose an im- proved single anchor node-based WSN node localisation method (SFOA-SVM). First, it uses single mobile anchor node to moved in the WSN, and constructs study samples of wireless sensor localisation model; then it uses SVM to build node localisation model, and employs fisher fishing algorithm to simulate fisher' s behaviour of fishing to find optimal SVM parameters ; finally the localisation performance of the node is tested by simulation experiment. Results show that relative to other localisati0n method, the SFOA-SVM method improves the localisa- tion precision of wireless sensor nodes and has certain practical applied value.
出处
《计算机应用与软件》
CSCD
2015年第11期147-150,共4页
Computer Applications and Software
关键词
无线传感网络
单锚节点
节点定位RSSI测距
Wireless sensor networks (WSN)
Single anchor node
Node localisation
RSSI ranging