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Quality of Service ...
Quality of Service Optimization in IoT Driven Intelligent Transportation System
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- Sodhro, Ali Hassan (författare)
- Linköpings universitet,Databas och informationsteknik,Tekniska fakulteten,Shenzhen Inst Adv Technol, Peoples R China; Sukkur IBA Univ, Pakistan
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- Obaidat, Mohammad S. (författare)
- Nazarbayev Univ, Kazakhstan; Univ Jordan, Jordan; Univ Sci and Technol Beijing, Peoples R China
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- Abbasi, Qammer H. (författare)
- Univ Glasgow, Scotland
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- Pace, Pasquale (författare)
- Univ Calabria, Italy
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- Pirbhulal, Sandeep (författare)
- Shenzhen Inst Adv Technol, Peoples R China; Univ Beira Interior, Portugal
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- Yasar, Ansar-Ul-Haque (författare)
- Hasselt Univ, Belgium
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- Fortino, Giancarlo (författare)
- Univ Calabria, Italy
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- Imran, Muhammad Ali (författare)
- Univ Glasgow, Scotland
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- Qaraqe, Marwa (författare)
- Hamad Bin Khalifa Univ Educ City, Qatar
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(creator_code:org_t)
- USA : IEEE, 2019
- 2019
- Engelska.
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Ingår i: IEEE Wireless Communication Magazine. - USA : IEEE. - 1536-1284 .- 1558-0687. ; 26:6, s. 10-17
- Relaterad länk:
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https://ieeexplore.i...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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https://urn.kb.se/re...
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Abstract
Ämnesord
Stäng
- 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
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Kommunikationssystem (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Communication Systems (hsv//eng)
Nyckelord
- Quality of service
- Edge computing
- Internet of Things
- Optimization
- Multimedia communication
- Batteries
- Received signal strength indicator
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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