MGRP: Mobile Sinks-Based QoS-Aware Data Gathering Protocol for Wireless Sensor Networks-Based Smart Grid Applications in the Context of Industry 4.0-Based on Internet of Things
| dc.contributor.author | Faheem, Muhammad | |
| dc.contributor.author | Gungor, V. C. | |
| dc.date.accessioned | 2025-09-25T10:50:22Z | |
| dc.date.available | 2025-09-25T10:50:22Z | |
| dc.date.issued | 2018 | |
| dc.description | Phd, Muhammad Faheem,/0000-0003-4628-4486 | en_US |
| dc.description.abstract | The recent advances in internet of things (IoT) and industrial wireless sensor networks (IWSNs) paradigm provide a promising opportunity for upgrading todays elderly electricity industrial systems and even allow the fourth stage of the industrial revolution, referred to as smart grid industry (SGI) 4.0. In SGI 4.0 paradigm, the WSNs are considered as promising solutions due to their advantages, such as cable replacement, ease of deployment, flexibility, and cost reduction. However, harsh and complex smart grid (SG) environments pose great challenges to guarantee reliable communication for WSNs-based SG applications due to equipment noise, electromagnetic interference, multipath effects and fading in SG environments. This results in deteriorating the quality-of-service (QoS) requirements as well as the network lifetime of multi-hop communication-based WSNs for SG applications. Thus, for SGI 4.0 paradigm to come true, a WSN-based highly reliable communication infrastructure is crucial that will wirelessly connect and integrate power system components for more efficient, reliable, and intelligent operations of the next-generation electricity power grids. To address these challenges, in this paper a novel multi-mobile sinks-based QoS-aware data gathering protocol (called MQRP) for WSNs-based SG applications has been proposed to empower SGI 4.0. The extensive simulations study is carried through a network simulation tool called EstiNet9.0. The obtained experimental facts show that the proposed scheme has not only improved the QoS performance metrics, such as packet delivery ratio, memory utilization, control message overhead, residual energy, network lifetime, and throughput, but also reduced packet error rate and end-to-end delay compared to existing data collection schemes. (C) 2017 Elsevier B.V. All rights reserved. | en_US |
| dc.description.sponsorship | Ministry of Higher Education, Malaysia; Turkish National Academy of Sciences Distinguished Young Scientist Award Program (TUBA-GEBIP) [V.G./TUBA-GEBIP/2013-14] | en_US |
| dc.description.sponsorship | The work of Muhammad Faheem was supported by the Ministry of Higher Education, Malaysia. The work of V.C. Gungor was supported by the Turkish National Academy of Sciences Distinguished Young Scientist Award Program (TUBA-GEBIP) under Grant No: V.G./TUBA-GEBIP/2013-14. | en_US |
| dc.description.sponsorship | AVEA; European Union FP7 Marie Curie; Turk Telekom Research; Turkish Ministry of Science, Industry and Technology; National Academy of Sciences, NAS, (V.G./TUBA-GEBIP/2013-14); Ministry of Higher Education, Malaysia, MOHE | |
| dc.description.sponsorship | Vehbi Cagri Gungor received his B.S. and M.S. degrees in Electrical and Electronics Engineering from Middle East Technical University, Ankara, Turkey, in 2001 and 2003, respectively. He received his Ph.D. degree in electrical and computer engineering from the Broadband and Wireless Networking Laboratory, Georgia Institute of Technology, Atlanta, GA, USA, in 2007. Currently, he is an Associate Professor and Chair of Computer Engineering Department, Abdullah Gul University (AGU), Kayseri, Turkey. His current research interests are in smart grid communications, machine-to-machine communications, next-generation wireless networks, wireless ad hoc and sensor networks, cognitive radio networks. Dr. Gungor has authored more than 80 papers in refereed journals and international conference proceedings and has been serving as an Associate Editor of prestigious journals, such as for IEEE Transactions on Industrial Electronics and Ad Hoc Networks (Elsevier). He is also the recipient of the Distinguished Young Scientist Award (The Scientific and Technological Research Council of Turkey (TUBITAK)) in 2017, Distinguished Young Scientist Award (BAGEP) in 2016, Turkish Academy of Sciences Distinguished Young Scientist Award (TUBA-GEBIP) in 2014, IEEE Trans. on Industrial Informatics Best Paper Award in 2012, the European Union FP7 Marie Curie IRG Award in 2009, AVEA Research Grant Awards in 2013 and 2014, Turk Telekom Research Grant Awards in 2010 and 2012, and the San-Tez Project Awards supported by Alcatel-Lucent, and the Turkish Ministry of Science, Industry and Technology in 2010. Importantly, Dr. Gungor’s recent paper on smart grid communications has been ranked 8th in the Top Accessed Article List in the IEEE Xplore as of 2012. | |
| dc.identifier.doi | 10.1016/j.future.2017.10.009 | |
| dc.identifier.issn | 0167-739X | |
| dc.identifier.issn | 1872-7115 | |
| dc.identifier.scopus | 2-s2.0-85034997028 | |
| dc.identifier.uri | https://doi.org/10.1016/j.future.2017.10.009 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12573/4147 | |
| dc.language.iso | en | en_US |
| dc.publisher | Elsevier Science Bv | en_US |
| dc.relation.ispartof | Future Generation Computer Systems-The International Journal of Escience | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Internet of Things | en_US |
| dc.subject | Industry 4.0 | en_US |
| dc.subject | Smart Grid Industry 4.0 | en_US |
| dc.subject | Smart Grid | en_US |
| dc.subject | Wireless Sensor Networks | en_US |
| dc.subject | Mobile Sink | en_US |
| dc.subject | Routing Protocol | en_US |
| dc.title | MGRP: Mobile Sinks-Based QoS-Aware Data Gathering Protocol for Wireless Sensor Networks-Based Smart Grid Applications in the Context of Industry 4.0-Based on Internet of Things | en_US |
| dc.type | Article | en_US |
| dspace.entity.type | Publication | |
| gdc.author.id | Phd, Muhammad Faheem,/0000-0003-4628-4486 | |
| gdc.author.scopusid | 58648789900 | |
| gdc.author.scopusid | 10739803300 | |
| gdc.author.wosid | Faheem, Muhammad/Abe-4074-2020 | |
| 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 | [Faheem, Muhammad; Gungor, V. C.] Abdullah Gul Univ, Dept Comp Engn, Kayseri, Turkey; [Faheem, Muhammad] Taylors Univ, Dept Comp Sci, Subang Jaya, Selangor, Malaysia | en_US |
| gdc.description.endpage | 374 | en_US |
| gdc.description.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| gdc.description.scopusquality | Q1 | |
| gdc.description.startpage | 358 | en_US |
| gdc.description.volume | 82 | en_US |
| gdc.description.woscitationindex | Science Citation Index Expanded | |
| gdc.description.wosquality | Q1 | |
| gdc.identifier.openalex | W2767876360 | |
| gdc.identifier.wos | WOS:000427342300029 | |
| gdc.index.type | WoS | |
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| gdc.oaire.impulse | 30.0 | |
| gdc.oaire.influence | 6.5652577E-9 | |
| gdc.oaire.isgreen | false | |
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| gdc.oaire.sciencefields | 0202 electrical engineering, electronic engineering, information engineering | |
| gdc.oaire.sciencefields | 02 engineering and technology | |
| gdc.openalex.collaboration | International | |
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| gdc.opencitations.count | 51 | |
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