RMDS: Ranging and multidimensional scaling-based anchor-free localization in large-scale wireless sensor networks with coverage holes

doi:10.1177/1550147717724659

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	RMDS: Ranging and multidimensional scaling-based anchor-free localization in large-scale wireless sensor networks with coverage holes
	Li, Qiyue 1; Chu, Baoyu 1; Wu, Zhong 1; Sun, Wei 1; Chen, Liangfeng2 ; Li, Jie 3; Liu, Zhi 4
	2017-08-13
发表期刊	INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS
摘要	Sensor node localization is a crucial aspect of many location-related applications that utilize wireless sensor networks. Among the many studies in the literature, multidimensional scaling-based localization techniques have been proven to be efficient, obtaining high accuracy with lower information requirements. However, when applied to large-scale wireless sensor networks with coverage holes, which are common in many scenarios, such as underground mines, the transmission path can become deviated, degrading the localization performance of this type of connectivity-based technique. Furthermore, in such complex wireless environments, non-line-of-sight reference objects, the presence of obstacles and signal fluctuations change the communication range and make it difficult to obtain an accurate position. In this article, we present a anchor-free localization scheme for large-scale wireless sensor networks called the ranging and multidimensional scaling-based localization scheme. We use ranging and non-line-of-sight error mitigation techniques to estimate accurate distances between each node pair and attempt to find inflection nodes using a novel flooding protocol to correct transmission paths that have become deviated by a coverage hole. Moreover, we replace the singular value decomposition with an iterative maximum gradient descent method to reduce the computational complexity. The results of the simulations and experiments show that our scheme performs well on wireless sensor networks with different coverage holes and is robust to varying network densities.
文章类型	Article
关键词	Wireless Sensor Networks Localization Multidimensional Scaling Inflection Node Non-light-of-sight Error Mitigation
WOS标题词	Science & Technology ; Technology
DOI	10.1177/1550147717724659
关键词[WOS]	NLOS ERROR MITIGATION ; ALGORITHM ; ENVIRONMENT ; MULTIPATH ; MDS
收录类别	SCI
语种	英语
项目资助者	National Natural Science Foundation of China(61301114 ; National Natural Science Foundation of China(61301114 ; National Natural Science Foundation of China(61301114 ; National Natural Science Foundation of China(61301114 ; National Natural Science Foundation of China(61301114 ; National Natural Science Foundation of China(61301114 ; National Natural Science Foundation of China(61301114 ; National Natural Science Foundation of China(61301114 ; 51304058) ; 51304058) ; 51304058) ; 51304058) ; 51304058) ; 51304058) ; 51304058) ; 51304058)
WOS研究方向	Computer Science ; Telecommunications
WOS类目	Computer Science, Information Systems ; Telecommunications
WOS记录号	WOS:000407756400001
引用统计	被引频次：1[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.hfcas.ac.cn:8080/handle/334002/33590
专题	信息中心
作者单位	1.Hefei Univ Technol, Sch Elect Engn & Automat, Hefei, Anhui, Peoples R China 2.Chinese Acad Sci, Hefei Inst Phys Sci, Hefei, Anhui, Peoples R China 3.Hefei Univ Technol, Sch Comp & Informat, Hefei 23009, Anhui, Peoples R China 4.Waseda Univ, GITI, Tokyo, Japan
推荐引用方式 GB/T 7714	Li, Qiyue,Chu, Baoyu,Wu, Zhong,et al. RMDS: Ranging and multidimensional scaling-based anchor-free localization in large-scale wireless sensor networks with coverage holes[J]. INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS,2017,13(8).
APA	Li, Qiyue.,Chu, Baoyu.,Wu, Zhong.,Sun, Wei.,Chen, Liangfeng.,...&Liu, Zhi.(2017).RMDS: Ranging and multidimensional scaling-based anchor-free localization in large-scale wireless sensor networks with coverage holes.INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS,13(8).
MLA	Li, Qiyue,et al."RMDS: Ranging and multidimensional scaling-based anchor-free localization in large-scale wireless sensor networks with coverage holes".INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS 13.8(2017).