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

Journal Title

Journal ISSN

Volume Title

Publisher

Elsevier Science Bv

Open Access Color

Green Open Access

No

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Publicly Funded

No
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Top 1%
Influence
Top 10%
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Top 1%

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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

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
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OpenCitations Citation Count
115

Source

Applied Soft Computing

Volume

68

Issue

Start Page

910

End Page

922
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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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3

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13.4774

Sustainable Development Goals

7

AFFORDABLE AND CLEAN ENERGY
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9

INDUSTRY, INNOVATION AND INFRASTRUCTURE
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