Abstract
Internet of Vehicles (IoV) is a hot research niche exploiting the synergy between Cooperative Intelligent Transportation Systems (C-ITS) and the Internet of Things (IoT), which can greatly benefit of the upcoming development of 5G technologies. The variety of end-devices, applications, and Radio Access Technologies (RATs) in IoV calls for new networking schemes that assure the Quality of Service (QoS) demanded by the users. To this end, network slicing techniques enable traffic differentiation with the aim of ensuring flow isolation, resource assignment, and network scalability. This work fills the gap of 5G network slicing for IoV and validates it in a realistic vehicular scenario. It offers an accurate bandwidth control with a full flow-isolation, which is essential for vehicular critical systems. The development is based on a distributed Multi-Access Edge Computing (MEC) architecture, which provides flexibility for the dynamic placement of the Virtualized Network Functions (VNFs) in charge of managing network traffic. The solution is able to integrate heterogeneous radio technologies such as cellular networks and specific IoT communications with potential in the vehicular sector, creating isolated network slices without risking the Core Network (CN) scalability. The validation results demonstrate the framework capabilities of short and predictable slice-creation time, performance/QoS assurance and service scalability of up to one million connected devices.
Highlights
Internet of Vehicles (IoV) will be one of the most benefited vertical industries within the Internet of Things (IoT) ecosystem with the imminent development of 5G architectures [1]
There are other approaches in the literature dealing with Quality of Service (QoS) assurance in vehicular networks, such as information-centric proposals powered with features to limit packet delivery time [8], the spread of 5G solutions carries inherent advantages for data flow management
None of the proposed solutions so far has adopted a Multi-Access Edge Computing (MEC) architecture to achieve a close-to-Radio Access Technologies (RATs) approximation with extra management and performance capabilities, and the packet marking procedure based on differentiated services is a non-common approximation that provides good performances
Summary
Internet of Vehicles (IoV) will be one of the most benefited vertical industries within the Internet of Things (IoT) ecosystem with the imminent development of 5G architectures [1]. In IoV scenarios, the three families of services will coexist, e.g, critical services for road safety or alert notification in URLLC, vehicle and load monitoring in mMTC, and on-board infotainment in eMBB, among others [3]. These services exhibit diverse Quality of Service (QoS). The 5G transport network should be able to differentiate and isolate the different traffic flows crossing the system, as well as guaranteeing a set of network resources to them [6] This technique, which is known as network slicing, consists in configuring dedicated networks with assured virtualized resources for specific users and/or applications over a common physical infrastructure.
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