Low Cost and High Accuracy Data Gathering in WSNs with Matrix Completion

doi:10.1109/TMC.2017.2775230

	Low Cost and High Accuracy Data Gathering in WSNs with Matrix Completion
	Xie, Kun 1,2; Wang, Lele 1; Wang, Xin 3; Xie, Gaogang 4; Wen, Jigang 4
	2018-07-01
发表期刊	IEEE TRANSACTIONS ON MOBILE COMPUTING
ISSN	1536-1233
卷号	17 期号:7 页码:1595-1608
摘要	Matrix completion has emerged very recently and provides a new venue for low cost data gathering in Wireless Sensor Networks (WSNs). Existing schemes often assume that the data matrix has a known and fixed low-rank, which is unlikely to hold in a practical system for environment monitoring. Environmental data vary in temporal and spatial domains. By analyzing a large set of weather data collected from 196 sensors in ZhuZhou, China, we reveal that weather data have the features of low-rank, temporal stability, and relative rank stability. Taking advantage of these features, we propose an on-line data gathering scheme based on matrix completion theory, named MC-Weather, to adaptively sample different locations according to environmental and weather conditions. To better schedule sampling process while satisfying the required reconstruction accuracy, we propose several novel techniques, including three sample learning principles, an adaptive sampling algorithm based on matrix completion, and a uniform time slot and cross sample model. With these techniques, our MC-Weather scheme can collect the sensory data at required accuracy while largely reducing the cost for sensing, communication, and computation. We perform extensive simulations based on the data traces from weather monitoring and the simulation results validate the efficiency and efficacy of the proposed scheme.
关键词	Sparse data gathering matrix completion wireless sensor network
DOI	10.1109/TMC.2017.2775230
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[61572184] ; National Natural Science Foundation of China[61725206] ; National Natural Science Foundation of China[61472130] ; National Natural Science Foundation of China[61472131] ; Hunan Provincial Natural Science Foundation of China[2017JJ1010] ; US National Science Foundation[ECCS 1408247] ; US National Science Foundation[CNS 1526843] ; US National Science Foundation[ECCS 1731238] ; Foundation of Key Laboratory of Machine Intelligence and Advanced Computing of the Ministry of Education[MSC-201708A] ; Science and Technology Key Projects of Hunan Province[2015TP1004] ; outstanding graduate student innovation fund program of collaborative innovation center of high performance computing
WOS研究方向	Computer Science ; Telecommunications
WOS类目	Computer Science, Information Systems ; Telecommunications
WOS记录号	WOS:000434291500008
出版者	IEEE COMPUTER SOC
引用统计	被引频次：62[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/5272
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Xie, Kun
作者单位	1.Hunan Univ, Coll Comp Sci & Elect Engn, Changsha 410082, Hunan, Peoples R China 2.Sun Yat Sen Univ, Minist Educ, Key Lab Machine Intelligence & Adv Comp, Guangzhou 510000, Guangdong, Peoples R China 3.SUNY Stony Brook, Dept Elect & Comp Engn, Stony Brook, NY 11794 USA 4.Chinese Acad Sci, Inst Comp Technol, Beijing 100080, Peoples R China
推荐引用方式 GB/T 7714	Xie, Kun,Wang, Lele,Wang, Xin,et al. Low Cost and High Accuracy Data Gathering in WSNs with Matrix Completion[J]. IEEE TRANSACTIONS ON MOBILE COMPUTING,2018,17(7):1595-1608.
APA	Xie, Kun,Wang, Lele,Wang, Xin,Xie, Gaogang,&Wen, Jigang.(2018).Low Cost and High Accuracy Data Gathering in WSNs with Matrix Completion.IEEE TRANSACTIONS ON MOBILE COMPUTING,17(7),1595-1608.
MLA	Xie, Kun,et al."Low Cost and High Accuracy Data Gathering in WSNs with Matrix Completion".IEEE TRANSACTIONS ON MOBILE COMPUTING 17.7(2018):1595-1608.