Publication:
MOVE Mobility Model in GreedLea Routing Protocol for Internet of Vehicle (IoV) Network

cris.author.scopus-author-id 55384121300
cris.author.scopus-author-id 24826032200
cris.author.scopus-author-id 56441236100
cris.author.scopus-author-id 57201059019
cris.virtual.department Universiti Malaysia Perlis
cris.virtual.department Universiti Malaysia Perlis
cris.virtual.department Universiti Malaysia Perlis
cris.virtual.department Universiti Malaysia Perlis
cris.virtualsource.department 4a5c3e99-2245-4e44-b46e-0a020ef09317
cris.virtualsource.department cd3b8814-1940-43af-8811-eda440737492
cris.virtualsource.department 08688417-366d-400c-9db2-bb711429c353
cris.virtualsource.department 147447f4-90a6-47ee-8445-2d068a624923
dc.contributor.author Normaliza Omar
dc.contributor.author Naimah Yaakob
dc.contributor.author Mohamed Elshaikh Elobaid Said Ahmed
dc.contributor.author Zulkifli Husin
dc.date.accessioned 2024-09-27T10:36:57Z
dc.date.available 2024-09-27T10:36:57Z
dc.date.issued 2021-07-26
dc.description.abstract Internet of Vehicles (IoV) is a broad variety of mobile transmission purposes for file sharing [l]-[5]. There are still debates on the viability of purposes using end to end multi-hop communication, since the significant number of high mobility nodes involved in the networks. The main issue is the efficiency of IoV routing protocols in cities and highways can meet the ideal delay and throughput for such purposes. In particular, it is not usually a challenge to locate a node to hold a message in urban daytime situations, where vehicles are tightly packed. Since fewer number of vehicles are running in highway scenarios and cities at night, and it might not be possible to set up end-to-end roads. In general, each protocol offered a performance evaluation in contradiction of some other protocols, giving considerable importance to a detailed performance evaluation of each protocol type. After such an assessment, it was found that geocast routing would perform best in urban areas. GreedLea routing protocol is develop to overcome the current routing protocol drawback. The development of GreedLea routing protocol involved Greedy Perimeter Stateless Routing (GPSR) and reinforcement learning method in order to deliver better performance compared to current existing routing protocol. Urban environments without obstacles has been simulated using actual maps for example intersection density. In order to measure efficiency, the metrics are: average delivery rate, average delay, average length of path and overhead. From the analysis, it shows that GreedLea offers better performance compared to GPSR for both city and highway scenario. The first section in your paper.
dc.identifier.doi 10.1088/1742-6596/1962/1/012033
dc.identifier.scopus 2-s2.0-85112006688
dc.identifier.uri https://hdl.handle.net/20.500.14170/4893
dc.relation.grantno undefined
dc.relation.ispartof Journal of Physics: Conference Series
dc.relation.ispartofseries Journal of Physics: Conference Series
dc.relation.issn 17426588
dc.rights open access
dc.title MOVE Mobility Model in GreedLea Routing Protocol for Internet of Vehicle (IoV) Network
dc.type Conference Proceeding
dspace.entity.type Publication
oaire.citation.issue 1
oaire.citation.volume 1962
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.author.affiliation Universiti Malaysia Perlis
oairecerif.author.affiliation Universiti Malaysia Perlis
oairecerif.author.affiliation Universiti Malaysia Perlis
oairecerif.author.affiliation Universiti Malaysia Perlis
oairecerif.citation.number 012033
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person.identifier.scopus-author-id 55384121300
person.identifier.scopus-author-id 24826032200
person.identifier.scopus-author-id 56441236100
person.identifier.scopus-author-id 57201059019
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