A Multi-Channel Distributed Routing Scheme for Smart Grid Real-Time Critical Event Monitoring Applications in the Perspective of Industry 4.0
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Date
2019
Journal Title
Journal ISSN
Volume Title
Publisher
Inderscience Publishers
Open Access Color
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
Recently, the 4th industrial revolution known as Industry 4.0 has paved way for a systematical deployment of the modernised power grid to fulfil the continuously growing energy demand of the 21st century. This paper proposes a novel channel-aware distributed routing protocol named CARP for CRSNs-based SG applications. In CARP, the proposed cooperative channel assignment mechanism significantly improves the detection reliability and mitigates the noise and congested spectrum bands resulting in reliable and high capacity links for CRSNs-based SG applications. Moreover, to support higher capacity data requirements and to maximise the spectrum utilisation, the proposed multi-hop routing mechanism selects a secondary user relay node rich in spectrum information with longer ideal probability at low interference in the network. The extensive simulation results conducted through EstiNet9.0 reveal that the proposed scheme achieves its defined goals compared to existing routing schemes designed for CRSNs-based applications. © 2020 Elsevier B.V., All rights reserved.
Description
Raza, Basit/0000-0001-6711-2363;
ORCID
Keywords
Cognitive Radio, Industry 4.0, Internet of Thing, IoT, Smart Grid, Wireless Sensor Networks., Cognitive Radio, Industry 4.0, Internet of Things, Network Routing, Routing Protocols, Smart Power Grids, Wireless Sensor Networks, Channel Assignment, Distributed Routing, Distributed Routing Protocols, Extensive Simulations, Industrial Revolutions, Multi-Hop Routing, Smart Grid, Spectrum Information, Electric Power Transmission Networks
Fields of Science
0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
WoS Q
Q4
Scopus Q
Q3

OpenCitations Citation Count
31
Source
International Journal of Ad Hoc and Ubiquitous Computing
Volume
32
Issue
4
Start Page
236
End Page
256
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Citations
Scopus : 39
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Mendeley Readers : 35
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