A Loss Inference Algorithm for Wireless Sensor Networks to Improve Data Reliability of Digital Ecosystems

doi:10.1109/TIE.2011.2106096

	A Loss Inference Algorithm for Wireless Sensor Networks to Improve Data Reliability of Digital Ecosystems
	Yang, Yu 1,2; Xu, Yongjun 1; Li, Xiaowei 1; Chen, Canfeng 3
	2011-06-01
发表期刊	IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
ISSN	0278-0046
卷号	58 期号:6 页码:2126-2137
摘要	Digital ecosystems (DEs) are based on a large amount of distributed data, and these data are gathered from physical devices, particularly from wireless sensor networks (WSNs). Due to the inherent stringent bandwidth and energy constraints, energy-efficient mechanisms of performance measurement are the key to the proper operation of WSNs and thereby important for the data reliability of DEs. This paper presents a novel algorithm, i.e., Loss Inference based on Passive Measurement (LIPM), to infer WSN link loss performance. The LIPM algorithm passively monitors the application traffic between sensor nodes and the sink (base station), and then uses network tomography technology to infer the network internal performance. Furthermore, contour maps, the well-known representation of data, are first taken into account in WSN loss performance inference, which can help the LIPM algorithm identify lossy areas rapidly. Finally, the algorithm is validated through simulations and exhibits good performance and scalability.
关键词	Cyber-physical ecosystems (CPEs) data aggregation digital ecosystems (DEs) network performance measurement network tomography wireless sensor networks (WSNs)
DOI	10.1109/TIE.2011.2106096
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[60772070] ; National Natural Science Foundation of China[60873244] ; National Natural Science Foundation of China[60921002] ; National Natural Science Foundation of China[61003307] ; National Basic Research Program of China[2011CB302503] ; National Basic Research Program of China[2011CB302803] ; National High Technology Research and Development Program of China[2009AA01Z126] ; Important National Science and Technology Specific Projects[2010ZX03006-002] ; Important National Science and Technology Specific Projects[2010ZX03006-007]
WOS研究方向	Automation & Control Systems ; Engineering ; Instruments & Instrumentation
WOS类目	Automation & Control Systems ; Engineering, Electrical & Electronic ; Instruments & Instrumentation
WOS记录号	WOS:000290628500008
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：26[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/2XEOYT63/13204
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Yang, Yu
作者单位	1.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China 3.Nokia Res Ctr, Beijing 100176, Peoples R China
推荐引用方式 GB/T 7714	Yang, Yu,Xu, Yongjun,Li, Xiaowei,et al. A Loss Inference Algorithm for Wireless Sensor Networks to Improve Data Reliability of Digital Ecosystems[J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS,2011,58(6):2126-2137.
APA	Yang, Yu,Xu, Yongjun,Li, Xiaowei,&Chen, Canfeng.(2011).A Loss Inference Algorithm for Wireless Sensor Networks to Improve Data Reliability of Digital Ecosystems.IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS,58(6),2126-2137.
MLA	Yang, Yu,et al."A Loss Inference Algorithm for Wireless Sensor Networks to Improve Data Reliability of Digital Ecosystems".IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 58.6(2011):2126-2137.