Abstract:
Despite reduced network latency and resilience,
fog computing has not been leveraged for vehicular Over-theAir (OTA) updates. Due to vehicle mobility and traffic, the
resource utilization of fog nodes is almost non-deterministic,
which increases the delay in communication and handover. In
this paper, we propose an approach for distributing fog nodes by
analyzing the vehicular traffic pattern in a region. The proposed
method: (a) finds the optimal number of fog nodes for a specific
time interval based on the traffic pattern of a region and (b)
maximizes the net reserve resources enabling specific fog nodes.
To do so, we use the k-means algorithm to identify traffic load
and distribute the fog nodes using our proposed algorithm to
maximize fog resource utilization. We present a case study of
OTA updates that considers vehicle mobility, data transmission
rate, propagation delay and handover delay to predict the
required update time. The experimental results demonstrate
that the proposed method of fog node allocation extends the
net reserve resources by 30.92% on an average, and reduces the
OTA update time.
