Energy Efficient and QoS-Aware Routing Protocol for Wireless Sensor Network-Based Smart Grid Applications in the Context of Industry 4.0
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Date
2018
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier Science Bv
Open Access Color
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
Recently, there have been great advances in internet of things (IoT) and wireless sensor networks (WSNs) leading to the fourth industrial revolution in power grid, namely, Smart Grid Industry 4.0 (SGI 4.0). In the Smart Grid Industry 4.0 framework, the WSNs have the potential to improve power grid efficiency by cable replacement, deployment flexibility, and cost reduction. However, the smart grid (SG) environment that the WSNs operate in is very challenging because of equipment noise, dust, heat, electromagnetic interference, multipath effects and fading, which make it difficult for current WSNs to provide reliable communication. For SGI 4.0 to come true, a WSN-based highly reliable communication infrastructure is essential for successful operation of the next-generation electricity power grids. To address this need, in this paper a novel dynamic clustering based energy efficient and quality-of-service (QoS)-aware routing protocol (called EQRP), which is inspired by the real behavior of the bird mating optimization (BMO), has been proposed. The proposed distributed scheme improves network reliability significantly and reduces excessive packets retransmissions for WSN-based SG applications. Performance results show that the proposed protocol has successfully reduced the end-to-end delay and has improved packet delivery ratio, memory utilization, residual energy, and throughput. (C) 2017 Elsevier B.V. All rights reserved.
Description
Phd, Muhammad Faheem,/0000-0003-4628-4486
ORCID
Keywords
Internet of Things, Industry 4.0, Smart Grid Industry 4.0, Smart Grid, Wireless Sensor Network, Routing, Bio-Inspired, Bird Mating Optimization
Fields of Science
0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
WoS Q
Q1
Scopus Q
Q1

OpenCitations Citation Count
115
Source
Applied Soft Computing
Volume
68
Issue
Start Page
910
End Page
922
PlumX Metrics
Citations
CrossRef : 6
Scopus : 125
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Mendeley Readers : 232
SCOPUS™ Citations
129
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Web of Science™ Citations
109
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Page Views
3
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OpenAlex FWCI
13.4774
Sustainable Development Goals
7
AFFORDABLE AND CLEAN ENERGY

9
INDUSTRY, INNOVATION AND INFRASTRUCTURE


