Abstract
Mobile edge computing (MEC) is a new computing paradigm for addressing users’ ever-increasing demand for quality of service (QoS) in vehicular ad hoc networks (VANETs). The local delay is a performance metric that has a big impact on the QoS provisioned to users. This paper studies the analysis of the local delay in an MEC-based VANET based on stochastic geometry. An analytical model is first derived to analyze the average uplink local delay of a vehicle on a highway for sending a packet to an edge node along the highway. In deriving the model, the spatial distributions of vehicles and edge nodes are modeled as an independent one-dimensional (1-D) homogeneous Poisson point process (PPP). The edge node for accommodating the service request of a vehicle node is determined based on a nearest-receiver model. Moreover, a carrier sense multiple access (CSMA) mechanism is considered for channel access in the derived local delay model. The derived analytical model is validated through simulation results and the impacts of major parameters on the average uplink local delay are investigated. The derived model can be used to provide a basis for parameter settings in the deployment of edge nodes.
Published Version
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