LAPSE:2020.0080
Published Article
LAPSE:2020.0080
A Novel Hybrid Optimization Scheme on Connectivity Restoration Processes for Large Scale Industrial Wireless Sensor and Actuator Networks
Ying Zhang, Zheming Zhang, Bin Zhang
January 19, 2020
In the wireless sensor and actuator networks (WSANs) of industrial field monitoring, maintaining network connectivity with coverage perception plays a decisive role in many industrial process scenarios. The mobile actuator node is responsible for collecting data from the sensing nodes and performing diverse specific collaborative operation tasks. However, the failure of the nodes usually causes coverage vulnerability and partition of the network. Urgent and time-sensitive applications expect a minimum coverage loss to complete an instant connectivity restoration. This paper presents a hybrid coverage perception-based connectivity restoration algorithm, which is designed to restore network connectivity with minimal coverage area loss. The algorithm uses a backup node, which is selected nearby the critical node, to ensure a timely restoration when the critical node encounters failure. In the process of backup node migration, the optimal destination will be reselected to maintain the best network coverage after network connectivity recovery. The effectiveness of the proposed algorithm was verified by some simulation experiments.
Keywords
connectivity restoration, industrial network, network coverage rate, nodes relocation, wireless sensor and actuator networks
Suggested Citation
Zhang Y, Zhang Z, Zhang B. A Novel Hybrid Optimization Scheme on Connectivity Restoration Processes for Large Scale Industrial Wireless Sensor and Actuator Networks. (2020). LAPSE:2020.0080
Author Affiliations
Zhang Y: College of Information Engineering, Shanghai Maritime University, Shanghai 201306, China [ORCID]
Zhang Z: College of Information Engineering, Shanghai Maritime University, Shanghai 201306, China
Zhang B: College of Information Engineering, Shanghai Maritime University, Shanghai 201306, China
Journal Name
Processes
Volume
7
Issue
12
Article Number
E939
Year
2019
Publication Date
2019-12-10
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr7120939, Publication Type: Journal Article
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LAPSE:2020.0080
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doi:10.3390/pr7120939
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Jan 19, 2020
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CC BY 4.0
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Jan 19, 2020
 
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Original Submitter
Calvin Tsay
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