Abstract
Edge caching is a promising approach to alleviate the burden on the backhaul of network links. It has a significant role in the Internet of Vehicle (IoV) networks performance by providing cached data at the edge and reduce the burden of the core network caused by the number of participating vehicles and data volume. However, due to the limited computing and storage capabilities of edge devices, it is hard to guarantee that all contents are cached and every requirement of the device are satisfied for all users. In this paper, we design an Information-Centric Network (ICN) with mobility-aware proactive caching scheme to provide delay-sensitive services on IoV networks. The real-time status and interaction of vehicles with other vehicles and Roadside Units (RSU) is modeled using a Markov process. Mobility aware proactive edge caching decision that maximize network performance while minimizing transmission delay is applied. Our numerical simulation results show that the proposed scheme outperforms related caching schemes in terms of latency by 20–25% in terms of latency and by 15–23% in cache hits.
Highlights
With the advancement of wireless communication, edge computing and caching, as well as the Internet of Things, the automotive industry continues to accelerate towards the goal of connected vehicles, named Internet of Vehicles (IoV)
Considering a realistic urban IoV scenario with the IoV network having different number of vehicles ranging from low density (10 cars) to high traffic density (100 cars), 5 Roadside Units (RSU), 1 Macro base station, and 1 cloud server in a 0.5 km × 0.5 km road segment
A cache hit occurs when interest is fulfilled by one of the cache nodes and a cache miss happens if interest can only be served by the original content source
Summary
With the advancement of wireless communication, edge computing and caching, as well as the Internet of Things, the automotive industry continues to accelerate towards the goal of connected vehicles, named Internet of Vehicles (IoV). To improve the driving and traveling experience, significant volumes of information will be exchanged between vehicles and roadside units in the IoV ecosystem. These applications require specific computational and communication resources such as bandwidth and storage, while keeping low latency to meet the Quality of Experience (QoE) of IoV users. In IoV networks the movement of vehicles causes dynamic topology changes which require the rerouting of the content. These dynamic topology changes due to the mobility of vehicles, added to the poor quality of the wireless links, are the hurdles to overcome in order to provide optimal. CDN has its own drawbacks and limitations, in terms of manageability, scalability, mobility, and security
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