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Quality of Service ...
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Sodhro, Ali HassanLinköpings universitet,Databas och informationsteknik,Tekniska fakulteten,Shenzhen Inst Adv Technol, Peoples R China; Sukkur IBA Univ, Pakistan
(författare)
Quality of Service Optimization in IoT Driven Intelligent Transportation System
- Artikel/kapitelEngelska2019
Förlag, utgivningsår, omfång ...
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USA :IEEE,2019
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printrdacarrier
Nummerbeteckningar
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LIBRIS-ID:oai:DiVA.org:miun-42872
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https://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-42872URI
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https://doi.org/10.1109/MWC.001.1900085DOI
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https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-163256URI
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Språk:engelska
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Sammanfattning på:engelska
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Ämneskategori:ref swepub-contenttype
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Ämneskategori:art swepub-publicationtype
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Funding Agencies|CENIIT project [17.01]; Electrical Engineering Department, Sukkur IBA University, Sukkur, Sindh, Pakistan; PIFI 2020 [2020BVC0002]; PR China Ministry of Education Distinguished Professor at the University of Science and Technology Beijing grant; FCTFundacao para a Ciencia e a Tecnologia (FCT) [UID/EEA/50008/2019]; COST ActionEuropean Cooperation in Science and Technology (COST) [IC1303-AAPELE]; COST (European Cooperation in Science and Technology)European Cooperation in Science and Technology (COST) [CA16226]
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High mobility in ITS, especially V2V communication networks, allows increasing coverage and quick assistance to users and neighboring networks, but also degrades the performance of the entire system due to fluctuation in the wireless channel. How to obtain better QoS during multimedia transmission in V2V over future generation networks (i.e., edge computing platforms) is very challenging due to the high mobility of vehicles and heterogeneity of future IoT-based edge computing networks. In this context, this article contributes in three distinct ways: to develop a QoS-aware, green, sustainable, reliable, and available (QGSRA) algorithm to support multimedia transmission in V2V over future IoT-driven edge computing networks; to implement a novel QoS optimization strategy in V2V during multimedia transmission over IoT-based edge computing platforms; to propose QoS metrics such as greenness (i.e., energy efficiency), sustainability (i.e., less battery charge consumption), reliability (i.e., less packet loss ratio), and availability (i.e., more coverage) to analyze the performance of V2V networks. Finally, the proposed QGSRA algorithm has been validated through extensive real-time datasets of vehicles to demonstrate how it outperforms conventional techniques, making it a potential candidate for multimedia transmission in V2V over self-adaptive edge computing platforms.
Ämnesord och genrebeteckningar
Biuppslag (personer, institutioner, konferenser, titlar ...)
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Obaidat, Mohammad S.Nazarbayev Univ, Kazakhstan; Univ Jordan, Jordan; Univ Sci and Technol Beijing, Peoples R China
(författare)
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Abbasi, Qammer H.Univ Glasgow, Scotland
(författare)
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Pace, PasqualeUniv Calabria, Italy
(författare)
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Pirbhulal, SandeepShenzhen Inst Adv Technol, Peoples R China; Univ Beira Interior, Portugal
(författare)
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Yasar, Ansar-Ul-HaqueHasselt Univ, Belgium
(författare)
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Fortino, GiancarloUniv Calabria, Italy
(författare)
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Imran, Muhammad AliUniv Glasgow, Scotland
(författare)
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Qaraqe, MarwaHamad Bin Khalifa Univ Educ City, Qatar
(författare)
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Linköpings universitetDatabas och informationsteknik
(creator_code:org_t)
Sammanhörande titlar
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Ingår i:IEEE Wireless Communication MagazineUSA : IEEE26:6, s. 10-171536-12841558-0687
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