Energy efficient and QoS-aware routing protocol for wireless sensor network-based smart grid applications in the context of industry 4.0

dc.contributor.author Faheem, M.
dc.contributor.author Gungor, V. C.
dc.contributor.department AGÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü en_US
dc.date.accessioned 2021-05-04T12:57:41Z
dc.date.available 2021-05-04T12:57:41Z
dc.date.issued 2018 en_US
dc.description The work of V.C. Gungor was supported by the Turkish National Academy of Sciences Distinguished Young Scientist Award Program (TUBA-GEBIP) under Grand No: V.G./TUBA-GEBIP/2013-14. en_US
dc.description.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. en_US
dc.description.sponsorship Turkish Academy of Sciences V.G./TUBA-GEBIP/2013-14 en_US
dc.identifier.issn 1872-9681
dc.identifier.issn 1568-4946
dc.identifier.uri http //doi. org/10.1016/j.asoc.2017.07.045
dc.identifier.uri https://hdl.handle.net/20.500.12573/705
dc.identifier.volume Volume: 68 Pages: 910-922 en_US
dc.language.iso eng en_US
dc.publisher ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS en_US
dc.relation.isversionof 10.1016/j.asoc.2017.07.045 en_US
dc.relation.journal APPLIED SOFT COMPUTING en_US
dc.relation.publicationcategory Makale - Uluslararası - Editör Denetimli Dergi en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Bird mating optimization en_US
dc.subject Bio-inspired en_US
dc.subject Routing en_US
dc.subject Wireless sensor network en_US
dc.subject Smart grid en_US
dc.subject Smart grid industry 4.0 en_US
dc.subject Internet of things en_US
dc.title Energy efficient and QoS-aware routing protocol for wireless sensor network-based smart grid applications in the context of industry 4.0 en_US
dc.type article en_US

Files

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Energy efficient and QoS-aware routing protocol for wireless sensor network-based smart grid applications in the context of industry 4.0.pdf
Size:
1.34 MB
Format:
Adobe Portable Document Format
Description:
Makale Dosyası

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.44 KB
Format:
Item-specific license agreed upon to submission
Description: