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Adaptive Congestion Controlled Multipath Routing in VANET
- Source :
- International Journal of Agent Technologies and Systems. 9:43-68
- Publication Year :
- 2017
- Publisher :
- IGI Global, 2017.
-
Abstract
- This article describes how in the VANET environment, routes are broken owing to node mobility. Moreover, the usage of wireless links for data communication leads to inherent unreliability and are error prone. Single path routing uses a prediction mechanism to compute a reliable path considering vehicle velocity and vehicle direction. Nevertheless, this methodology does not deal with major real-world traffic conditions. Hence, to address the aforementioned problems and to enhance reliability and fault tolerance, multipath routing protocols are employed. However existing multipath routing protocols even though compute multipath, only one path will be engaged in actual communication at any given time. Hence this work proposes Adaptive Congestion Controlled Multipath Routing in a VANET. The proposed work computes multiple paths from source to destination using cubic Bezier curves and more importantly, employs all/more than one path during the communication. The paths thus computed are adaptive in nature dependent upon the direction of mobility of source and destination vehicles.
- Subjects :
- 050210 logistics & transportation
Computer science
business.industry
Reliability (computer networking)
Node (networking)
ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS
05 social sciences
020206 networking & telecommunications
02 engineering and technology
0502 economics and business
Multipath routing
Path (graph theory)
0202 electrical engineering, electronic engineering, information engineering
Wireless
Routing (electronic design automation)
Transmission time
business
Multipath propagation
Computer network
Subjects
Details
- ISSN :
- 19430752 and 19430744
- Volume :
- 9
- Database :
- OpenAIRE
- Journal :
- International Journal of Agent Technologies and Systems
- Accession number :
- edsair.doi...........2774f964000a0b1a3928cffbe440b5b2
- Full Text :
- https://doi.org/10.4018/ijats.2017010103