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On-Demand Mobile Data Collection in Cyber-Physical Systems
Joint Authors
Pan, Jianping
Kong, Linghe
He, Liang
Tao, Jun
Xu, Jingdong
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
2018-04-30
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Information Technology and Computer Science
Abstract EN
The collection of sensory data is crucial for cyber-physical systems.
Employing mobile agents (MAs) to collect data from sensors offers a new dimension to reduce and balance their energy consumption but leads to large data collection latency due to MAs’ limited velocity.
Most existing research effort focuses on the offline mobile data collection (MDC), where the MAs collect data from sensors based on preoptimized tours.
However, the efficiency of these offline MDC solutions degrades when the data generation of sensors varies.
In this paper, we investigate the on-demand MDC; that is, MAs collect data based on the real-time data collection requests from sensors.
Specifically, we construct queuing models to describe the First-Come-First-Serve-based MDC with a single MA and multiple MAs, respectively, laying a theoretical foundation.
We also use three examples to show how such analysis guides online MDC in practice.
American Psychological Association (APA)
He, Liang& Kong, Linghe& Tao, Jun& Xu, Jingdong& Pan, Jianping. 2018. On-Demand Mobile Data Collection in Cyber-Physical Systems. Wireless Communications and Mobile Computing،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1216108
Modern Language Association (MLA)
He, Liang…[et al.]. On-Demand Mobile Data Collection in Cyber-Physical Systems. Wireless Communications and Mobile Computing No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1216108
American Medical Association (AMA)
He, Liang& Kong, Linghe& Tao, Jun& Xu, Jingdong& Pan, Jianping. On-Demand Mobile Data Collection in Cyber-Physical Systems. Wireless Communications and Mobile Computing. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1216108
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1216108