Name
Abstract | ||
|---|---|---|
Cloud computing is a network access model that aims to transparently and ubiquitously share a large number of computing resources. These are leased by a service provider to digital customers, usually through the Internet. Due to the increasing number of traffic accidents and dissatisfaction of road users in vehicular networks, the major focus of current solutions provided by intelligent transportation systems is on improving road safety and ensuring passenger comfort. Cloud computing technologies have the potential to improve road safety and traveling experience in ITSs by providing flexible solutions (i.e., alternative routes, synchronization of traffic lights, etc.) needed by various road safety actors such as police, and disaster and emergency services. In order to improve traffic safety and provide computational services to road users, a new cloud computing model called VANET-Cloud applied to vehicular ad hoc networks is proposed. Various transportation services provided by VANET-Cloud are reviewed, and some future research directions are highlighted, including security and privacy, data aggregation, energy efficiency, interoperability, and resource management. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/MWC.2015.7054724 | Wireless Communications, IEEE |
Keywords | Field | DocType |
cloud computing,data privacy,intelligent transportation systems,mobile computing,road safety,road traffic,traffic engineering computing,vehicular ad hoc networks,its,internet,vanet-cloud,data aggregation,data security,energy efficiency,generic cloud computing model,intelligent transportation system,interoperability,network access model,resource management,traffic accident,logic gates,mobile communication,ad hoc networks,computational modeling | Mobile ad hoc network,Computer security,Computer science,Computer network,Utility computing,Cloud computing security,Vehicular communication systems,Intelligent transportation system,Wireless ad hoc network,Vehicular ad hoc network,Cloud computing | Journal |
Volume | Issue | ISSN |
22 | 1 | 1536-1284 |
Citations | PageRank | References |
62 | 1.66 | 13 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Salim Bitam | 1 | 205 | 13.61 |
| Abdelhamid Mellouk | 2 | 679 | 75.86 |
| Sherali Zeadally | 3 | 3399 | 219.68 |