Routing Protocol Design Guidelines for Smart Grid Environments

dc.contributor.author Temel, Samil
dc.contributor.author Gungor, Vehbi Cagri
dc.contributor.author Kocak, Taskin
dc.date.accessioned 2025-09-25T10:56:44Z
dc.date.available 2025-09-25T10:56:44Z
dc.date.issued 2014
dc.description.abstract The evaluation of the current electric power grid with novel communication facilities is one of the most challenging and exciting issues of the 21st century. The modern grid technology is called the smart grid in the sense that it utilizes digital communication technologies to monitor and control the grid environments, which ultimately require novel communication techniques to be adapted to the system. Wireless sensor networks (WSN) have. recently been considered as a cost-effective technology for the realization of reliable remote monitoring systems for smart grid. However, problems such as noise, interference and fading in smart grid environments, make reliable and energy-efficient multi-hop routing a difficult task for WSNs in smart grid. Our main goal is to describe advantages and applications of WSNs for smart grid and motivate the research community to further investigate this promising research area. In this study we have investigated and experimented some of the well-known on-demand, table-driven and QoS-aware routing protocols, in terms of packet delivery ratio, end-to-end delay, and energy consumption to show the advantages and disadvantages of each routing protocol type in different smart grid spectrum environments. The environmental characteristics which are based on real-world field tests are injected into ns-2 Network Simulator and the performance of four different multi-hop routing protocols is investigated. Also, we have shown that traditional multi-hop routing protocols cannot deliver adequate performance on smart grid environments. Hence, based on our simulation results, we present some guidelines on how to design routing protocols specifically for smart grid environments. (C) 2013 Elsevier B.V. All rights reserved. en_US
dc.description.sponsorship Abddullah Gul University Foundation; European Union FP7 Marie Curie International Reintegration Grant (IRG) [PIRG05-GA-2009-249206] en_US
dc.description.sponsorship This work was supported by Abddullah Gul University Foundation and the European Union FP7 Marie Curie International Reintegration Grant (IRG) under Grant PIRG05-GA-2009-249206. We also would like to thank Ibrahim ZAGLI for his precious help to implement TUQR protocol in ns-2. en_US
dc.identifier.doi 10.1016/j.bjp.2013.11.009
dc.identifier.issn 1389-1286
dc.identifier.issn 1872-7069
dc.identifier.scopus 2-s2.0-84894751910
dc.identifier.uri https://doi.org/10.1016/j.bjp.2013.11.009
dc.identifier.uri https://hdl.handle.net/20.500.12573/4600
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.relation.ispartof Computer Networks en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Smart Grid en_US
dc.subject Wireless Sensor Networks en_US
dc.subject Routing en_US
dc.title Routing Protocol Design Guidelines for Smart Grid Environments en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.scopusid 35106173500
gdc.author.scopusid 10739803300
gdc.author.scopusid 7003330141
gdc.author.wosid Temel, Samil/B-2942-2013
gdc.bip.impulseclass C4
gdc.bip.influenceclass C4
gdc.bip.popularityclass C4
gdc.coar.access metadata only access
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department Abdullah Gül University en_US
gdc.description.departmenttemp [Temel, Samil] Hava Harp Okulu, Turkish Air Force Acad, Aeronaut & Space Technol Inst, TR-34149 Istanbul, Turkey; [Gungor, Vehbi Cagri] Abdullah Gul Univ, Dept Comp Engn, Kayseri, Turkey; [Gungor, Vehbi Cagri; Kocak, Taskin] Bahcesehir Univ, Dept Comp Engn, Istanbul, Turkey en_US
gdc.description.endpage 170 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q1
gdc.description.startpage 160 en_US
gdc.description.volume 60 en_US
gdc.description.woscitationindex Science Citation Index Expanded
gdc.description.wosquality Q1
gdc.identifier.openalex W1974808273
gdc.identifier.wos WOS:000332430700012
gdc.index.type WoS
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gdc.oaire.diamondjournal false
gdc.oaire.impulse 11.0
gdc.oaire.influence 4.962309E-9
gdc.oaire.isgreen false
gdc.oaire.popularity 8.263836E-9
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0202 electrical engineering, electronic engineering, information engineering
gdc.oaire.sciencefields 02 engineering and technology
gdc.openalex.collaboration National
gdc.openalex.fwci 4.5446
gdc.openalex.normalizedpercentile 0.94
gdc.openalex.toppercent TOP 10%
gdc.opencitations.count 31
gdc.plumx.crossrefcites 32
gdc.plumx.facebookshareslikecount 1
gdc.plumx.mendeley 58
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gdc.scopus.citedcount 32
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