On the Interdependency Between Multi-Channel Scheduling and Tree-Based Routing for WSNs in Smart Grid Environments
| dc.contributor.author | Yigit, Melike | |
| dc.contributor.author | Incel, Ozlem Durmaz | |
| dc.contributor.author | Gungor, Vehbi Cagri | |
| dc.date.accessioned | 2025-09-25T10:53:44Z | |
| dc.date.available | 2025-09-25T10:53:44Z | |
| dc.date.issued | 2014-06 | |
| dc.description | Durmaz Incel, Ozlem/0000-0002-6229-7343; Yigit, Melike/0000-0002-1275-792X; | en_US |
| dc.description.abstract | Field tests show that the link-quality of wireless links in different smart grid environments, such as outdoor substation, varies greatly both in space and time because of various factors, including multi-path, fading, node contentions, radio frequency (RF) interference, and noise. This leads to both time and location dependent capacity limitations of wireless links in smart grid environments. To improve network capacity in such environments, multichannel communication and the use of proper routing topologies emerge as efficient solutions to achieve simultaneous, interference-free transmissions over multiple channels. In this paper, we explore the impact of multi-channel communication and the selection of efficient routing topologies on the performance of wireless sensors networks in different smart grid spectrum environments. Particularly, we evaluate the network performance using a receiver-based channel selection method and using different routing trees, including routing trees constructed considering the link qualities, Capacitated Minimum Spanning Trees (CMSTs), capacitated minimum spanning tree considering link qualities and Minimum Hop Spanning Trees (MHSTs). We focus on performance measures such as delay and throughput that can benefit from the simultaneous parallel transmissions and show that the use multiple channels together with routing trees that consider network capacity and link quality, i.e., capacitated minimum spanning tree considering link qualities, substantially improve the network performance in harsh smart-grid environments compared to single-channel communication and minimum-hop routing trees. (C) 2014 Elsevier B.V. All rights reserved. | en_US |
| dc.description.sponsorship | Abddullah Gul University Foundation | en_US |
| dc.description.sponsorship | The work of V.C. Gungor was supported by Abddullah Gul University Foundation. | en_US |
| 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, and IP networks. Dr. Gungor has authored several papers in refereed journals and international conference proceedings, and has been serving as an editor, reviewer and program committee member to numerous journals and conferences in these areas. He is also the recipient of the IEEE Trans. on Industrial Informatics Best Paper Award in 2012, IEEE ISCN Best Paper Award in 2006, the European Union FP7 Marie Curie RG Award in 2009, 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. | |
| dc.description.sponsorship | FP7 Marie Curie; Turk Telekom Research; Turkish Ministry of Science, Industry and Technology; Abdullah Gül Üniversitesini Destekleme Vakfi, AGÜV | |
| dc.identifier.doi | 10.1016/j.comnet.2014.02.025 | |
| dc.identifier.issn | 1389-1286 | |
| dc.identifier.issn | 1872-7069 | |
| dc.identifier.scopus | 2-s2.0-84897430115 | |
| dc.identifier.uri | https://doi.org/10.1016/j.comnet.2014.02.025 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12573/4320 | |
| 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 | Industrial Wireless Sensor Networks | en_US |
| dc.subject | Multi-Channel Communication | en_US |
| dc.subject | Routing Trees | en_US |
| dc.title | On the Interdependency Between Multi-Channel Scheduling and Tree-Based Routing for WSNs in Smart Grid Environments | en_US |
| dc.type | Article | en_US |
| dspace.entity.type | Publication | |
| gdc.author.id | Durmaz Incel, Ozlem/0000-0002-6229-7343 | |
| gdc.author.id | Yigit, Melike/0000-0002-1275-792X | |
| gdc.author.scopusid | 55960019900 | |
| gdc.author.scopusid | 15131686400 | |
| gdc.author.scopusid | 10739803300 | |
| gdc.author.wosid | Durmaz Incel, Ozlem/K-2570-2012 | |
| gdc.author.wosid | Yigit, Melike/H-9951-2015 | |
| gdc.author.wosid | Kapdan, Melike/G-8979-2014 | |
| 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 | [Yigit, Melike; Gungor, Vehbi Cagri] Bahcesehir Univ, Fac Engn, Dept Comp Engn, TR-34353 Istanbul, Turkey; [Incel, Ozlem Durmaz] Galatasaray Univ, Fac Engn & Technol, Dept Comp Engn, TR-34349 Istanbul, Turkey; [Gungor, Vehbi Cagri] Abdullah Gul Univ, Dept Comp Engn, Fac Engn, Kayseri, Turkey | en_US |
| gdc.description.endpage | 20 | en_US |
| gdc.description.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| gdc.description.scopusquality | Q1 | |
| gdc.description.startpage | 1 | en_US |
| gdc.description.volume | 65 | en_US |
| gdc.description.woscitationindex | Science Citation Index Expanded | |
| gdc.description.wosquality | Q1 | |
| gdc.identifier.openalex | W2046321142 | |
| gdc.identifier.wos | WOS:000336703000001 | |
| gdc.index.type | WoS | |
| gdc.index.type | Scopus | |
| gdc.oaire.diamondjournal | false | |
| gdc.oaire.impulse | 16.0 | |
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| gdc.oaire.sciencefields | 0202 electrical engineering, electronic engineering, information engineering | |
| gdc.oaire.sciencefields | 02 engineering and technology | |
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| gdc.openalex.toppercent | TOP 10% | |
| gdc.opencitations.count | 26 | |
| gdc.plumx.crossrefcites | 20 | |
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