Boundary Region Detection for Continuous Objects in Wireless Sensor Networks
Joint Authors
Zhang, Yaqiang
Wang, Zhenhua
Meng, Lin
Zhou, Zhangbing
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-05-09
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Information Technology and Computer Science
Abstract EN
Industrial Internet of Things has been widely used to facilitate disaster monitoring applications, such as liquid leakage and toxic gas detection.
Since disasters are usually harmful to the environment, detecting accurate boundary regions for continuous objects in an energy-efficient and timely fashion is a long-standing research challenge.
This article proposes a novel mechanism for continuous object boundary region detection in a fog computing environment, where sensing holes may exist in the deployed network region.
Leveraging sensory data that have been gathered, interpolation algorithms have been applied to estimate sensory data at certain geographical locations, in order to estimate a more accurate boundary line.
To examine whether estimated sensory data reflect that fact, mobile sensors are adopted to traverse these locations for gathering their sensory data, and the boundary region is calibrated accordingly.
Experimental evaluation shows that this technique can generate a precise object boundary region with certain time constraints, and the network lifetime can be prolonged significantly.
American Psychological Association (APA)
Zhang, Yaqiang& Wang, Zhenhua& Meng, Lin& Zhou, Zhangbing. 2018. Boundary Region Detection for Continuous Objects in Wireless Sensor Networks. Wireless Communications and Mobile Computing،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1216065
Modern Language Association (MLA)
Zhang, Yaqiang…[et al.]. Boundary Region Detection for Continuous Objects in Wireless Sensor Networks. Wireless Communications and Mobile Computing No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1216065
American Medical Association (AMA)
Zhang, Yaqiang& Wang, Zhenhua& Meng, Lin& Zhou, Zhangbing. Boundary Region Detection for Continuous Objects in Wireless Sensor Networks. Wireless Communications and Mobile Computing. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1216065
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1216065