Energy-Efficient Boundary Detection of Continuous Objects in IoT Sensing Networks

doi:10.1109/JSEN.2019.2919580

	Energy-Efficient Boundary Detection of Continuous Objects in IoT Sensing Networks
	Diao, Jin 1; Zhao, Deng 1; Wang, Junping2 ; Nguyen, Hien M.3; Tang, Jine 4; Zhou, Zhangbing 1,5
刊名	IEEE SENSORS JOURNAL
	2019-09-15
卷号	19 期号:18 页码:8303-8316
关键词	Boundary detection continuous objects IoT sensing networks energy efficiency
ISSN号	1530-437X
DOI	10.1109/JSEN.2019.2919580
通讯作者	Zhou, Zhangbing(zbzhou@cugb.edu.cn)
英文摘要	Sensing network of the Internet of Things (IoT) has become the infrastructure to facilitate the near real-time monitoring of potential events, where the accuracy and energy-efficiency are essential factors to be considered when determining the boundary of continuous objects. This paper proposes an energy-efficient boundary detection mechanism in IoT sensing networks. Specifically, a sleeping mechanism is adapted to detect the relatively coarse boundary through applying the convex hull algorithm, where only the relay nodes are activated. Leveraging the analysis of the relation for corresponding boundary nodes, the boundary area around a boundary node is categorized as three types of sub-areas with the descending possibility of event occurrence, i.e., the most possible, possible, and impossible areas. An optimized greedy algorithm is adapted to selectively activate certain numbers of one-hop neighboring IoT nodes in respective sub-areas, to avoid the activation of all one-hop neighboring nodes in a flooding manner. Consequently, the boundary is refined and optimized according to sensory data of these activated IoT nodes. The experimental results demonstrate that this technique can achieve a better detection accuracy, while reducing energy consumption to a large extent, than the state of art's techniques.
资助项目	National Natural Science Foundation of China[61772479] ; National Natural Science Foundation of China[61702232] ; National Natural Science Foundation of China[61662021]
WOS关键词	WIRELESS ; ALGORITHM ; TRACKING
WOS研究方向	Engineering ; Instruments & Instrumentation ; Physics
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000481964500056
资助机构	National Natural Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/27619]
专题	中国科学院自动化研究所
通讯作者	Zhou, Zhangbing
作者单位	1.China Univ Geosci, Sch Informat Engn, Beijing 100083, Peoples R China 2.Chinese Acad Sci, Lab Precis Sensing & Control Ctr, Inst Automat, Beijing 100190, Peoples R China 3.Duy Tan Univ, Sch Elect & Elect Engn, Da Nang 550000, Vietnam 4.Hebei Univ Technol, Sch Artificial Intelligence, Tianjin 300401, Peoples R China 5.TELECOM SudParis, Comp Sci Dept, F-91001 Evry, France
推荐引用方式 GB/T 7714	Diao, Jin,Zhao, Deng,Wang, Junping,et al. Energy-Efficient Boundary Detection of Continuous Objects in IoT Sensing Networks[J]. IEEE SENSORS JOURNAL,2019,19(18):8303-8316.
APA	Diao, Jin,Zhao, Deng,Wang, Junping,Nguyen, Hien M.,Tang, Jine,&Zhou, Zhangbing.(2019).Energy-Efficient Boundary Detection of Continuous Objects in IoT Sensing Networks.IEEE SENSORS JOURNAL,19(18),8303-8316.
MLA	Diao, Jin,et al."Energy-Efficient Boundary Detection of Continuous Objects in IoT Sensing Networks".IEEE SENSORS JOURNAL 19.18(2019):8303-8316.