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Avoiding fuel theft in multifleet vehicles using vehicular adhoc network
- Source :
- Cluster Computing. 22:11175-11181
- Publication Year :
- 2017
- Publisher :
- Springer Science and Business Media LLC, 2017.
-
Abstract
- A vehicle-to-vehicle (V2V) and vehicle roadside wireless communication network is vehicular ad-hoc network (VANET) which is a unique mobile ad-hoc network. VANET is an independent network which can organize by itself as both servers and clients for exchanging and sharing information. In multi-fleet system, this acts as a mode of internal communication in sharing information between themselves. This work involves proposals for multi-fleet vehicles using VANET for integrating Wireless Sensor Networks. This is particularly used in sensors that are utilized in determining the fuel pilfering with the other vehicles. Due to frequent change in location and separation, it is hard to plan an effective routing protocol to route data between vehicles which is otherwise called V2V communication and Vehicle to road side Infrastructure. A delay tolerant network based clustering is used in enhancing the quality of service for effective communication between vehicles. Ant colony optimization (ACO)-GeoSpray routing is used to route between vehicles. Through ACO, the best multi hop routes are selected. The outcome of the study showed that a better performance was achieved through the proposed technique.
- Subjects :
- Delay-tolerant networking
Routing protocol
Vehicular ad hoc network
Computer Networks and Communications
Computer science
business.industry
Wireless ad hoc network
Quality of service
Ant colony optimization algorithms
ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS
020206 networking & telecommunications
02 engineering and technology
Hop (networking)
Optimized Link State Routing Protocol
Server
0202 electrical engineering, electronic engineering, information engineering
Wireless
020201 artificial intelligence & image processing
business
Wireless sensor network
Software
Computer network
Subjects
Details
- ISSN :
- 15737543 and 13867857
- Volume :
- 22
- Database :
- OpenAIRE
- Journal :
- Cluster Computing
- Accession number :
- edsair.doi...........9c8dcd971a5ab826b0a99d3c02928605
- Full Text :
- https://doi.org/10.1007/s10586-017-1347-9