VANET routing protocol with traffic aware approach. (2019)
- Record Type:
- Journal Article
- Title:
- VANET routing protocol with traffic aware approach. (2019)
- Main Title:
- VANET routing protocol with traffic aware approach
- Authors:
- Vinnarasi, F. Sangeetha Francelin
Chandrasekar, A. - Abstract:
- Vehicular ad hoc network (VANET) is a type of mobile ad hoc network (MANET) that forms vehicles as nodes. Routing is the basic fundamental requirement of VANET applications. Therefore, it is necessary to devise a routing protocol that fits well for rapid topology changes and disconnected network conditions. To address these specific needs of VANET, we present a novel greedy routing protocol for vehicular networks called VRPTA that suite well for both city environment and the high way environment. With the help of localisation system named global positioning system (GPS), the proposed protocol is designed to efficiently relay the data in the network by considering different scenarios like road traffic variation and various environment characteristics. The protocol communicates in between vehicles as well as vehicle to infrastructure whichever is applicable, thereby ensuring reliable transmission. In addition, we also consider the information about vehicles speed, direction and density of a city traffic configuration consisting of double direction roads, multi lanes and highway scenario. The work is implemented using NS2 simulator.
- Is Part Of:
- International journal of advanced intelligence paradigms. Volume 12:Number 1/2(2019)
- Journal:
- International journal of advanced intelligence paradigms
- Issue:
- Volume 12:Number 1/2(2019)
- Issue Display:
- Volume 12, Issue 1/2 (2019)
- Year:
- 2019
- Volume:
- 12
- Issue:
- 1/2
- Issue Sort Value:
- 2019-0012-NaN-0000
- Page Start:
- 3
- Page End:
- 13
- Publication Date:
- 2019
- Subjects:
- vehicular ad hoc network -- VANET -- AODV -- DSDV -- OLSR -- CPCR -- VRPTA -- road side unit -- RSU -- movement prediction-based routing -- MOPR -- packet delivery ratio -- PDR
Artificial intelligence -- Periodicals
Machine theory -- Periodicals
Fuzzy logic -- Periodicals
006.305 - Journal URLs:
- http://www.inderscience.com/browse/index.php?journalID=272 ↗
http://www.inderscience.com/ ↗ - Languages:
- English
- ISSNs:
- 1755-0386
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 9165.xml