A Collaborative Task Offloading Scheme in Vehicular Edge Computing

Muhammad Saleh Bute, Pingzhi Fan, Gang Liu, Fakhar Abbas, Zhiguo Ding

202128 citationsDOI

Abstract

The increase of mobile applications in the internet of vehicles (IoVs), necessitates the demand for higher computation capabilities. Vehicles can transfer related applications to another nodes for processing. In this paper, an efficient task offloading scheme for cellular vehicle to everything (C-V2X) is proposed to improve offloading reliability and latency. Vehicles are grouped into clusters, where vehicles in need of assistance can transfer their task to other vehicles for processing through the vehicle to vehicle (V2V) link, or transfer their task to the mobile edge computing (MEC) server via the vehicle to network (V2N) link. Matching theory is exploited for the task assignments. Simulation results reveals that the proposed scheme performs better than the existing schemes.

Topics & Concepts

Computer scienceMobile edge computingScheme (mathematics)Edge computingTask (project management)Computer networkEnhanced Data Rates for GSM EvolutionVehicular ad hoc networkThe InternetComputation offloadingReliability (semiconductor)Distributed computingTask analysisLatency (audio)Mobile computingServerWireless ad hoc networkWirelessArtificial intelligenceTelecommunicationsOperating systemEngineeringMathematical analysisQuantum mechanicsMathematicsPower (physics)Systems engineeringPhysicsIoT and Edge/Fog ComputingVehicular Ad Hoc Networks (VANETs)Transportation and Mobility Innovations