Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/23913
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Waheed, Abdul | - |
dc.contributor.author | Shah, Munam Ali | - |
dc.contributor.author | Mohsin, Syed Muhammad | - |
dc.contributor.author | Khan, Abid | - |
dc.contributor.author | Maple, Carsten | - |
dc.contributor.author | Aslam, Sheraz | - |
dc.contributor.author | Shamshirband, Shahab | - |
dc.date.accessioned | 2022-02-07T10:33:00Z | - |
dc.date.available | 2022-02-07T10:33:00Z | - |
dc.date.issued | 2022 | - |
dc.identifier.citation | IEEE Access, 2022, vol. 10, pp. 3580-3600 | en_US |
dc.identifier.issn | 21693536 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.14279/23913 | - |
dc.description.abstract | Road safety, optimized traffic management, and passenger comfort have always been the primary goals of the vehicle networking research community. Advances in computer and communication technology have made the dream of modern intelligent vehicles a reality through the use of smart sensors, cameras, networking devices, and storage capabilities. Autonomous operation of modern intelligent vehicles requires massive computations where tasks are outsourced. The research community has proposed various computing paradigms: mobile cloud computing, vehicle cloud computing, multi-access edge computing, vehicle edge computing, vehicle fog computing, and voluntary computing-based VANET (VCBV) to move computational power close to the user and handle the delay-sensitive applications of modern intelligent vehicles. In this study, we have provided a comprehensive overview of all computing paradigms related to vehicular networks. We have presented the architectural details, similarities, differences, and key features of each computing paradigm. Finally, we concluded the study with open research challenges in vehicular networks. | en_US |
dc.format | en_US | |
dc.language.iso | en | en_US |
dc.relation.ispartof | IEEE Access | en_US |
dc.rights | This work is licensed under a Creative Commons Attribution 4.0 License. | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Multi-access edge computing | en_US |
dc.subject | Vehicular cloud computing | en_US |
dc.subject | Vehicular edge computing | en_US |
dc.subject | Vehicular fog computing | en_US |
dc.subject | Vehicular network | en_US |
dc.subject | Volunteer computing based VANET | en_US |
dc.title | A Comprehensive Review of Computing Paradigms, enabling Computation Offloading and Task Execution in Vehicular Networks | en_US |
dc.type | Article | en_US |
dc.collaboration | COMSATS University Islamabad | en_US |
dc.collaboration | University of Aberystwyth | en_US |
dc.collaboration | University of Warwick | en_US |
dc.collaboration | Cyprus University of Technology | en_US |
dc.collaboration | National Yunlin University of Science and Technology | en_US |
dc.subject.category | Computer and Information Sciences | en_US |
dc.journals | Open Access | en_US |
dc.country | Pakistan | en_US |
dc.country | United Kingdom | en_US |
dc.country | Cyprus | en_US |
dc.country | Taiwan | en_US |
dc.subject.field | Natural Sciences | en_US |
dc.publication | Peer Reviewed | en_US |
dc.identifier.doi | 10.1109/ACCESS.2021.3138219 | en_US |
dc.identifier.scopus | 2-s2.0-85122597541 | - |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/85122597541 | - |
dc.relation.volume | 10 | en_US |
cut.common.academicyear | 2021-2022 | en_US |
dc.identifier.spage | 3580 | en_US |
dc.identifier.epage | 3600 | en_US |
item.fulltext | With Fulltext | - |
item.cerifentitytype | Publications | - |
item.grantfulltext | open | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
item.openairetype | article | - |
item.languageiso639-1 | en | - |
crisitem.journal.journalissn | 2169-3536 | - |
crisitem.journal.publisher | IEEE | - |
crisitem.author.dept | Department of Electrical Engineering, Computer Engineering and Informatics | - |
crisitem.author.faculty | Faculty of Engineering and Technology | - |
crisitem.author.orcid | 0000-0003-4305-0908 | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
Appears in Collections: | Άρθρα/Articles |
Files in This Item:
File | Description | Size | Format | |
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A_Comprehensive_Review_of_Computing_Paradigms_Enabling_Computation_Offloading_and_Task_Execution_in_Vehicular_Networks.pdf | 1.32 MB | Adobe PDF | View/Open |
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