Mohammad Pasha1
and Khaleel Ur Rahman Khan2
1Department of Information Technology, MJCET, Hyderabad, India
2Department of Computer Science Engineering, ACE, Hyderabad, India
ABSTRACT
Smart vehicles of today on road are equipped with advanced computational units, multiple communication
technologies, intelligent sensing platforms, and human-computer interaction devices which utilize
Vehicular Edge Networks to support services offered by the remote cloud. This being named as
Opportunistic Vehicular Edge Computing recently, has the possibility to supplement the services provided
by the Edge gadgets. Many Vehicular Edge Computing architectures have been proposed as of late which
support task offloading. One among the premier difficulties in these networks is efficiently utilizing the
resources available at the vehicular nodes. The present work uses APEATOVC, a conveyed and versatile
protocol for economical, efficient and effective task offloading in these networks which address the
adaptability of vehicular clouds. The results obtained by extensive simulations are presented to assess and
contrast its performance with existing protocols.
KEYWORDS
Vehicular Cloud Computing, Mobile Edge Computing, Vehicular Ad-Hoc Networks, Computation Offloading.
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