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Sökning: onr:"swepub:oai:DiVA.org:ltu-80928" > Towards 5G-Enabled ...

  • Sodhro, Ali HassanLuleå tekniska universitet,Digitala tjänster och system,Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS), Shenzhen 518055, China. Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS), Shenzhen 518055, China,Lulea Univ Technol, Sweden; Chinese Acad Sci, Peoples R China; Sukkur IBA Univ, Pakistan (författare)

Towards 5G-Enabled Self Adaptive Green and Reliable Communication in Intelligent Transportation System

  • Artikel/kapitelEngelska2021

Förlag, utgivningsår, omfång ...

  • IEEE,2021
  • electronicrdacarrier

Nummerbeteckningar

  • LIBRIS-ID:oai:DiVA.org:ltu-80928
  • https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-80928URI
  • https://doi.org/10.1109/TITS.2020.3019227DOI
  • https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-178778URI

Kompletterande språkuppgifter

  • Språk:engelska
  • Sammanfattning på:engelska

Ingår i deldatabas

Klassifikation

  • Ämneskategori:ref swepub-contenttype
  • Ämneskategori:art swepub-publicationtype

Anmärkningar

  • Validerad;2021;Nivå 2;2021-08-18 (johcin)
  • Funding Agencies|Research Grant of PIFI 2020 [2020VBC0002]; Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS), Shenzhen, China; Electrical Engineering Department, Sukkur IBA University, Sukkur, Pakistan; PR China Ministry of Education Distinguished Professor, University of Science and Technology Beijing Grant; Centro de Competencias em Cloud Computing [Centro-01-0145-FEDER-000019-C4]; the Programa Operacional Regional do Centro (CENTRO 2020), through the Sistema de Apoio a Investigacao Cientifica e Tecnologica-Programas Integrados de IC DT; Technologies and Equipment Guangdong Education Bureau Fund [2017KTSCX166]; Science and Technology Innovation Committee Foundation of Shenzhen [JCYJ201708171, 12037041, ZDSYS201703031748284002E]; VHCA Brazilian National Council for Research and Development (CNPq)Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPQ)Fundacao de Apoio a Pesquisa do Distrito Federal (FAPDF) [304315/2017-6, 430274/2018-1]
  • Fifth generation (5G) technologies have become the center of attention in managing and monitoring high-speed transportation system effectively with the intelligent and self-adaptive sensing capabilities. Besides, the boom in portable devices has witnessed a huge breakthrough in the data driven vehicular platform. However, sensor-based Internet of Things (IoT) devices are playing the major role as edge nodes in the intelligent transportation system (ITS). Thus, due to high mobility/speed of vehicles and resource-constrained nature of edge nodes more data packets will be lost with high power drain and shorter battery life. Thus, this research significantly contributes in three ways. First, 5G-based self-adaptive green (i.e., energy efficient) algorithm is proposed. Second, a novel 5G-driven reliable algorithm is proposed. Proposed joint energy efficient and reliable approach contains four layers, i.e., application, physical, networks, and medium access control. Third, a novel joint energy efficient and reliable framework is proposed for ITS. Moreover, the energy and reliability in terms of received signal strength (RSSI) and hence packet loss ratio (PLR) optimization is performed under the constraint that all transmitted packets must utilize minimum transmission power with high reliability under particular active time slot. Experimental results reveal that the proposed approach (with Cross Layer) significantly obtains the green (55%) and reliable (41%) ITS platform unlike the Baseline (without Cross Layer) for aging society.

Ämnesord och genrebeteckningar

Biuppslag (personer, institutioner, konferenser, titlar ...)

  • Pirbhulal, SandeepDepartment of Computer Science, University of Beira Interior, 6201-001 Covilhã, Portugal,Univ Beira Interior, Portugal (författare)
  • Sodhro, Gul HassanDepartment of Physics, Shah Abdul Latif University, Khairpur 66111, Pakistan,Shah Abdul Latif Univ, Pakistan (författare)
  • Muzammal, MuhammadDepartment of Computer Science, Bahria University, Islamabad 44000, Pakistan,Bahria Univ Islamabad, Pakistan,Univ Beira Interior, Portugal (författare)
  • Zongwei, LuoDivision of Science and Technology, United International College, BNU-HKBU, Zhuihai 519085, China,United Int Coll, Peoples R China (författare)
  • Gurtov, AndreiLinköpings universitet,Databas och informationsteknik,Tekniska fakulteten(Swepub:liu)andgu38 (författare)
  • de Macêdo, Antônio Roberto L.Department of Computer Science, University of Fortaleza, Fortaleza 60811-905, Brazil,Univ Fortaleza, Brazil (författare)
  • Wang, LeiShenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China,Chinese Acad Sci, Peoples R China (författare)
  • Garcia, Nuno M.Instituto de Telecomunicações, University of Beira Interior, 6201-001 Covilhã, Portugal (författare)
  • de Albuquerque, Victor Hugo C.Department of Computer Science, University of Fortaleza, Fortaleza 60811-905, Brazil,Univ Fortaleza, Brazil (författare)
  • Luleå tekniska universitetDigitala tjänster och system (creator_code:org_t)

Sammanhörande titlar

  • Ingår i:IEEE transactions on intelligent transportation systems (Print): IEEE22:8, s. 5223-52311524-90501558-0016

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