Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/3539
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dc.contributor.authorAzlan Abd Azizen_US
dc.contributor.authorAzwan Mahmuden_US
dc.contributor.authorNurul Asyiqin Mamaten_US
dc.contributor.authorNur Asyiqin Amir hamzahen_US
dc.contributor.authorHadhrami Ab Ghanien_US
dc.date.accessioned2022-12-04T08:59:35Z-
dc.date.available2022-12-04T08:59:35Z-
dc.date.issued2022-
dc.identifier.isbn978-166546837-4-
dc.identifier.urihttp://hdl.handle.net/123456789/3539-
dc.descriptionScopusen_US
dc.description.abstractAccurate and realistic propagation channel is of paramount requirement in the design of vehicle-to-vehicle (V2V) communications which cover the realistic channel properties and characteristics. Obstructions and propagation link types give significant impact on the communication link and are often ignored in the modelling and analysis of the V2V design and simulation. In this paper, we demonstrate an overview of V2V propagation channel model and wireless channel requirements based on the different link types and obstruction types. We investigate three different environments such as urban, suburban and highway which are in the state of Malacca. We analyze the neighborhood size (defined as the number of vehicles that can communicate with the ego vehicle), received signal power and traffic density under the different environment and link types. The numerical results show that the performance of the V2V communications is directly affected by the link types and the environments. The link quality deterioration is more severe due to the buildings than that due to the vehicles. Majority of the link types are still considered to be line-of-sight (LOS) and this is a promising sign for higher throughput and reliable V2V communication links. This analysis provides insightful planning and modelling foundation in V2V networks.en_US
dc.description.sponsorshipMinistry of Higher Education, Malaysiaen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.subjectgeometry-based V2Ven_US
dc.subjectpropagation channelen_US
dc.subjectlink typesen_US
dc.subjectvehicle obstructionen_US
dc.titlePerformance Evaluation of V2V Propagation Channels Under Different Link Typesen_US
dc.typeInternationalen_US
dc.relation.conference4th IEEE International Conference on Artificial Intelligence in Engineering and Technology, IICAIET 2022en_US
dc.identifier.doi10.1109/IICAIET55139.2022.9936791-
dc.description.fundingFRGS/1/2019/ TK08/MMU/03/1en_US
dc.description.page1-6en_US
dc.relation.seminar4th IEEE International Conference on Artificial Intelligence in Engineering and Technology, IICAIET 2022en_US
dc.date.seminarstartdate2022-09-13-
dc.date.seminarenddate2022-09-15-
dc.description.placeofseminarKota Kinabalu, Malaysiaen_US
dc.description.seminarorganizerIEEE Sabah subsectionen_US
dc.description.seminarorganizerArtificial Intelligence Research Unit and Universiti Malaysia Sabah (UMS)en_US
dc.description.typeIndexed Proceedingsen_US
item.languageiso639-1en-
item.openairetypeInternational-
item.grantfulltextopen-
item.fulltextWith Fulltext-
crisitem.author.deptUNIVERSITI MALAYSIA KELANTAN-
Appears in Collections:Faculty of Data Science and Computing - Proceedings
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