Boundary Region Detection for Continuous Objects in Wireless Sensor Networks

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 fash...

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Bibliographic Details
Published in:Wireless Communications and Mobile Computing Vol. 2018; no. 2018; pp. 1 - 13
Main Authors: Zhou, Zhangbing, Meng, Lin, Wang, Zhenhua, Zhang, Yaqiang
Format: Journal Article
Language:English
Published: Cairo, Egypt Hindawi Publishing Corporation 01.01.2018
Hindawi
Wiley
John Wiley & Sons, Inc
Subjects:
[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]
Algorithms
Cloud computing
Computer Science
Disasters
Energy consumption
Energy efficiency
Geographical locations
Industrial applications
Industrial Internet of Things
Internet of Things
Interpolation
Networking and Internet Architecture
Object recognition
Sensors
Wireless networks
Wireless sensor networks
ISSN:1530-8669, 1530-8677
Online Access:Get full text
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Summary: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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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ISSN:1530-8669
1530-8677
DOI:10.1155/2018/5176569