Safety Applications and Measurement Tools for Connected Vehicles

L'abstract è presente nell'allegato / the abstract is in the attachmen

Demo: Open source testbed for vehicular communication

The challenge of enabling the communications between the vehicle and its surroundings is being faced by the entire automotive industry, while the main standardization bod- ies are undergoing a huge effort to propose new solutions and improve the existing ones. The lack of open source solu- tions for vehicular communications penalizes the technology advances, and for this reason we present an open source plat- form based on PC Engines’ boards and Unex’s WNICs for the testing of V2X (vehicle-to-everything) applications. Our platform enables the connectivity over a 802.11p channel between two boards that can be deployed as wireless don- gles, so it can be used to extend the network capabilities of any kind of computing system. The testbed has been setup to work with several applications: from video streaming, to online gaming, to a containerized version of a latency tester, called LaTe

A Flexible, Protocol-agnostic Latency Measurement Platform

Latency is one of the key parameters of any networked system, from vehicular networks to real time video streaming. Being capable of measuring such a parameter can be very important in assessing the performances of devices under test. In this paper, we discuss how we designed a lightweight, flexible, custom latency measurement protocol, LaMP, completely agnostic of lower-layer protocols. We also present the first open source tool leveraging LaMP, called LaTe, running on any Linux-based device, which has been validated through several tests, both involving general purpose laptops and embedded devices for vehicular communications, for which the most important results are presented

Characterization and performance evaluation of 802.11p NICs

The automotive industry is scrambling to equip high- and middle-segment vehicles with communication capabilities that will enable the commercialization of connected vehicles in the near future. Although both IEEE and 3GPP are devel- oping new solutions, it is likely that IEEE 802.11p will be the protocol of choice. In this paper, we develop an open-source testing framework for IEEE 802.11p cards and character- ize the performance of Unex DHXA-222 cards in terms of throughput and packet loss, especially when different traffic classes, hence access categories, are selected

Characterizing Docker Overhead in Mobile Edge Computing Scenarios

Mobile Edge Computing (MEC) is an emerging network paradigm that provides cloud and IT services at the point of access of the network. Such proximity to the end user translates into ultra-low latency and high bandwidth, while, at the same time, it alleviates traffic congestion in the network core. Due to the need to run servers on edge nodes (e.g., an LTE-A macro eNodeB), a key element of MEC architectures is to ensure server portability and low overhead. A possible tool that can be used for this purpose is Docker, a framework that allows easy, fast deployment of Linux containers. This paper addresses the suitability of Docker in MEC scenar- ios by quantifying the CPU consumed by Docker when running two different containerized services: multiplayer gam- ing and video streaming. Our tests, run with varying numbers of clients and servers, yield different results for the two case studies: for the gaming service, the overhead logged by Docker increases only with the number of servers; con- versely, for the video streaming case, the overhead is not affected by the number of either clients or servers.Comment: 6 Pages, 9 images, 2 table

Edge-based Collision Avoidance for Vehicles and Vulnerable Users

Collision avoidance is one of the most promising applications for vehicular networks, dramatically improving the safety of the vehicles that support it. In this paper, we investigate how it can be extended to benefit vulnerable users, e.g., pedestrians and bicycles, equipped with a smartphone. We argue that, owing to the reduced capabilities of smartphones compared to vehicular on-board units, traditional distributed approaches are not viable, and that multi-access edge computing (MEC) support is needed. Thus, we propose a MEC-based collision avoidance system, discussing its architecture and evaluating its performance. We find that, thanks to MEC, we are able to extend the protection of collision avoidance, traditionally thought for vehicles, to vulnerable users without impacting its effectiveness or latency

Performance Analysis of C-V2I-Based Automotive Collision Avoidance

One of the key applications envisioned for C-V2I (Cellular Vehicle-to-Infrastructure) networks pertains to safety on the road. Thanks to the exchange of Cooperative Awareness Messages (CAMs), vehicles and other road users (e.g., pedestrians) can advertise their position, heading and speed and sophisticated algorithms can detect potentially dangerous situations leading to a crash. In this paper, we focus on the safety application for automotive collision avoidance at intersections, and study the effectiveness of its deployment in a C-V2I-based infrastructure. In our study, we also account for the location of the server running the application as a factor in the system design. Our simulation-based results, derived in real-world scenarios, provide indication on the reliability of algorithms for car-to-car and car-to-pedestrian collision avoidance, both when a human driver is considered and when automated vehicles (with faster reaction times) populate the streets.This work was partially supported by TIM through the research contract “Multi-access Edge Computing”, and by the European Commission through the H2020 5GTRANSFORMER project (Project ID 761536

ONIX: Open Radio Network Information eXchange

While video-on-demand still takes up the lion's share of Internet traffic, we are witnessing a significant increase in the adoption of mobile applications defined by tight bit rate and latency requirements (e.g., augmented/virtual reality). Supporting such applications over a mobile network is very challenging due to the unsteady nature of the network and the long distance between the users and the application back-end, which usually sits in the cloud. To address these and other challenges, like security, reliability, and scalability, a new paradigm termed multi-access edge computing (MEC) has emerged. MEC places computational resources closer to the end users, thus reducing the overall end-to-end latency and the utilization of the network backhaul. However, to adapt to the volatile nature of a mobile network, MEC applications need real-time information about the status of the radio channel. The ETSI-defined radio network information service (RNIS) is in charge of providing MEC applications with up-to-date information about the radio network. In this article, we first discuss three use cases that can benefit from the RNIS (collision avoidance, media streaming, and Industrial Internet of Things). Then we analyze the requirements and challenges underpinning the design of a scalable RNIS platform, and report on a prototype implementation and its evaluation. Finally, we provide a roadmap of future research challenges