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On-Demand Routing Protocols for Vehicular Cloud Computing

On-Demand Routing Protocols for Vehicular Cloud Computing

Copyright: © 2018 |Pages: 27
ISBN13: 9781522539810|ISBN10: 1522539816|EISBN13: 9781522539827
DOI: 10.4018/978-1-5225-3981-0.ch007
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MLA

Poonia, Ramesh C., and Linesh Raja. "On-Demand Routing Protocols for Vehicular Cloud Computing." Vehicular Cloud Computing for Traffic Management and Systems, edited by Jyoti Grover, et al., IGI Global, 2018, pp. 151-177. https://doi.org/10.4018/978-1-5225-3981-0.ch007

APA

Poonia, R. C. & Raja, L. (2018). On-Demand Routing Protocols for Vehicular Cloud Computing. In J. Grover, P. Vinod, & C. Lal (Eds.), Vehicular Cloud Computing for Traffic Management and Systems (pp. 151-177). IGI Global. https://doi.org/10.4018/978-1-5225-3981-0.ch007

Chicago

Poonia, Ramesh C., and Linesh Raja. "On-Demand Routing Protocols for Vehicular Cloud Computing." In Vehicular Cloud Computing for Traffic Management and Systems, edited by Jyoti Grover, P. Vinod, and Chhagan Lal, 151-177. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-3981-0.ch007

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Abstract

In vehicular cloud computing systems (VCC), the overlapping transmission range of each vehicle ensures a unified and common channel for communication among the vehicles. The flexibility of VCC systems opens the door to myriad applications that contribute to the safety and comfort of the passengers. They are distributed, self-organizing communication networks built up by moving vehicles, and are thus characterized by very high node mobility and limited degrees of freedom in mobility patterns. Such particular features often make the standard networking protocol inefficient or unusable, hence the growing effort in the development of communication protocols, which are specific to vehicular networks. Routing protocols should be selected carefully after carrying out literature review. This chapter has investigated different on-demand routing protocols and focused to identify the efficient on-demand routing protocol that can give better performance in realistic environments of vehicular cloud computing systems.

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