A Distributed Node Localization Algorithm for Wireless Sensor Network Based on MDS and SDP

摘要：

Wireless sensor networks (WSN) have been applied to different scenarios. The distribution of the sensor nodes in these scenes are not always uniformly. A new localization algorithm based on multidimensional scaling (MDS) and semidefinite programming (SDP) is present in this paper. It is referred to as: Distributed Localization based on MDS and SDP (DIMS). The main idea of the algorithm is to construct several local positioning regions (LPRs) with reasonable distribution by an adaptive search algorithm, and merge the local maps together to form a global map. Simulation results show that DIMS has nice performance in sensor positioning accuracy, which can satisfy the demand of WSN-based applications.

关键词： wireless sensor network (WSN) localization multidimensional scaling (MDS) semidefinite programming (SDP) local positioning regions (LPR) relative map

作者: Yingqiang Ding Hua Tian Gangtao Han

作者单位: College of Information Engineering Zhengzhou University Zhengzhou, China

会议类型: 国际会议

会议名称: 2012 International Conference on Computer Science and Electronic Engineering(2012 IEEE计算机科学与电子工程国际会议 ICCSEE 2012)

会议地点: 杭州

会议语种:英文

页码: 624-628

在线出版日期: 2012-03-23（万方平台首次上网日期，不代表论文的发表时间）