An Optimized Flow Allocation in Vehicular Cloud

An Optimized Flow Allocation in Vehicular Cloud

Blog Article

In this paper, a vehicular cloud (VC) model is adopted where vehicles offer data as a service.We propose solutions for efficient data delivery based on transmission scheduling methods where vehicles gather data from their mounted sensors.This is done by first Cyclist Accessories - Gloves organizing vehicles into clusters, so that each cluster works as VC.A distributed D-hop cluster formation algorithm is presented to dynamically form vehicle clouds.The algorithm groups vehicles into non-overlapping clusters, which have adaptive sizes according to their mobility.

VCs are created in such a way that each vehicle is at most D-hops away from a cloud coordinator (broker).Each vehicle chooses its broker based on relative mobility calculations within its D-hop neighbors.After cloud construction, a mathematical optimization scheduling algorithm is used to maximize RUTIN throughput and minimize delay in delivering data from vehicles to their VC broker.Our proposed optimization model implements a contention-free-based medium access control where physical conditions of the channel are fully analyzed.Extensive simulations were performed for different scenarios to evaluate the performance of the proposed cloud formation and cloud-based transmission scheduling algorithms.

Results show that VCs formed by our algorithms are more stable and provide higher data throughputs compared with others.