On the Experimental Evaluation of Vehicular Networks: Issues, Requirements and Methodology Applied to a Real Use Case

Abstract

One of the most challenging fields in vehicular communications has been the experimental assessment of protocols and novel technologies. Researchers usually tend to simulate vehicular scenarios and/or partially validate new contributions in the area by using constrained testbeds and carrying out minor tests. In this line, the present work reviews the issues that pioneers in the area of vehicular communications and, in general, in telematics, have to deal with if they want to perform a good evaluation campaign by real testing. The key needs for a good experimental evaluation is the use of proper software tools for gathering testing data, post-processing and generating relevant figures of merit and, finally, properly showing the most important results. For this reason, a key contribution of this paper is the presentation of an evaluation environment called AnaVANET, which covers the previous needs. By using this tool and presenting a reference case of study, a generic testing methodology is described and applied. This way, the usage of the IPv6 protocol over a vehicle-to-vehicle routing protocol, and supporting IETF-based network mobility, is tested at the same time the main features of the AnaVANET system are presented. This work contributes in laying the foundations for a proper experimental evaluation of vehicular networks and will be useful for many researchers in the area.

Low-Cost Computing Using Raspberry Pi 2 Model B

“…After conducting a literature review, a suitable mixed-method of experimental and survey methodology was crafted to fit the aims of this project -to create and test a test-bed LCC environment. The experimental method was used to design and implement the low-cost computing [13], [14] and then the survey methodology was used for conducting a pilot test with participants, who had hands-on experience using the LCC environment prior to completing an online questionnaire survey [15]. A total of 87 participants were invited to take part in the pilot testing, 22 students and 65 staff, but only 38 out of 87 invitees participated in the pilot testing of the low-cost computing.…”

AutoMCM: Maneuver Coordination Service with Abstracted Functions for Autonomous Driving

“…Because the probability of maneuver coordination is proportional to the probability of p, the arrival time sharply increases as the packet-loss ratio increases. Additionally, according to a previous practical study of vehicle-to-vehicle communication, [33], [34], the packet loss ratio can be kept below 20% in the absence of obstacles, such as buildings and trees. Therefore, we conclude that our system is robust against packet loss when the timeout is 1 or 2s.…”