Highly Reliable Decision-Making Using Reliability Factor Feedback for Factory Condition Monitoring via WSNs
Joint Authors
Lee, Heung-No
Iqbal, Zafar
Nooshabadi, Saeid
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-10-01
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
Cooperation among sensors in a wireless sensor network, deployed for industrial monitoring in an indoor scenario, is a topic of interest in the smart factory and smart city research.
The indoor wireless communication channel is very harsh and the observations of all the sensors cannot be sent reliably to the base station.
Failure to transmit correct sensing results to the base station may result in false alarms or missed detection of events.
Therefore, we propose a cooperation scheme for the wireless sensors to send the data reliably to the base station.
Our aim is to increase the reliability of the received information, reduce the probability of error, lower the overall power consumption, and keep the latency to an acceptable low level.
We propose a reliability factor feedback algorithm to adjust the weight of unreliable sensors in the decision-making process.
The proposed scheme is analyzed based on its latency, power consumption, and packet delivery ratio.
Our results show significant improvement in the reliability of the received data, improved packet delivery, and reduced false alarm ratio for full repetition and cluster head-based cooperation.
The power consumption and latency in data transmission are also kept to an acceptable low level.
American Psychological Association (APA)
Iqbal, Zafar& Lee, Heung-No& Nooshabadi, Saeid. 2018. Highly Reliable Decision-Making Using Reliability Factor Feedback for Factory Condition Monitoring via WSNs. Wireless Communications and Mobile Computing،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1216273
Modern Language Association (MLA)
Iqbal, Zafar…[et al.]. Highly Reliable Decision-Making Using Reliability Factor Feedback for Factory Condition Monitoring via WSNs. Wireless Communications and Mobile Computing No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1216273
American Medical Association (AMA)
Iqbal, Zafar& Lee, Heung-No& Nooshabadi, Saeid. Highly Reliable Decision-Making Using Reliability Factor Feedback for Factory Condition Monitoring via WSNs. Wireless Communications and Mobile Computing. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1216273
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1216273