Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/591909
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | Enhanced hybridized rider optimization With cuckoo search algorithm an optimal Vanet routing | |
dc.date.accessioned | 2024-09-26T12:38:10Z | - |
dc.date.available | 2024-09-26T12:38:10Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/591909 | - |
dc.description.abstract | newline Vehicular Ad-hoc Network (VANET) allows vehicles to send newlineinformation to each other or roadside equipment in an instant and wireless newlinemanner. It represents a considerable step forward in terms of transportation. newlineIndeed, many applications could benefit from instantly transmitting data such newlineas video and music streaming. Internet connectivity could also be available to newlinethe passengers. The main objective and improvement aimed by VANET is a newlinesecurity matter. Warning messages for weather conditions, traffic accidents newlineand fuel consumption instantly transmitted between vehicles would improve newlineroad safety. However, one of the critical issues in VANET is the newlinedissemination of messages throughout the network. Indeed, routing newlinealgorithms are a key issue because of the high mobility and scalability of newlineVANET compared to other ad-hoc networks. | |
dc.format.extent | XIX,226p. | |
dc.language | English | |
dc.relation | P.216-225 | |
dc.rights | university | |
dc.title | Enhanced hybridized rider optimization With cuckoo search algorithm an optimal Vanet routing | |
dc.title.alternative | ||
dc.creator.researcher | Tony santhosh G | |
dc.subject.keyword | cuckoo search algorithm | |
dc.subject.keyword | Engineering and Technology | |
dc.subject.keyword | Vehicular Ad hoc Network | |
dc.description.note | ||
dc.contributor.guide | Dhandapani S | |
dc.publisher.place | Chennai | |
dc.publisher.university | Anna University | |
dc.publisher.institution | Faculty of Information and Communication Engineering | |
dc.date.registered | 2021 | |
dc.date.completed | 2024 | |
dc.date.awarded | 2024 | |
dc.format.dimensions | 21cm | |
dc.format.accompanyingmaterial | None | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Faculty of Information and Communication Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 11.06 kB | Adobe PDF | View/Open |
02_prelim_pages.pdf | 2.2 MB | Adobe PDF | View/Open | |
03_contents.pdf | 250.39 kB | Adobe PDF | View/Open | |
04_abstracts.pdf | 292.01 kB | Adobe PDF | View/Open | |
05_chapter1.pdf | 533.39 kB | Adobe PDF | View/Open | |
06_chapter2.pdf | 677.98 kB | Adobe PDF | View/Open | |
07_chapter3.pdf | 2.46 MB | Adobe PDF | View/Open | |
08_chapter4.pdf | 1.51 MB | Adobe PDF | View/Open | |
09_chapter5.pdf | 2.33 MB | Adobe PDF | View/Open | |
10_annexures.pdf | 111.35 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 90.79 kB | Adobe PDF | View/Open |
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