Optimizing V2X Data Collection and Storage for a Better Cost and Quality Trade-off

• Published in: 2017 6th IEEE International Conference on Advanced Logistics and Transport (ICALT) pp. 7 - 12
• Main Authors: Brahim, Mohamed Ben, Menouar, Hamid
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-07-2017
• Subjects: Containers; Data integrity; Data mining; data quality; data sampling; data storage; dimension reduction; Memory; Roads; Sensors; V2X wireless communication; Vehicle dynamics; vehicular edge computing
• DOI: 10.1109/ICAdLT.2017.8547038

Future vehicles will be equipped with advanced communication capabilities and a multitude of sensing devices. Vehicle-to-vehicle and to Infrastructure (V2X) is one of these future technologies. V2X-technology-enabled vehicles are expected to become a great source of big data. This data, if gathered in the right time and processed in the right way, can enable an interesting number of existing and new applications. This can be a challenging task, taken into account the considerable size of the data that will be gathered. One of the challenges is to find a good balance between the number of data to filter out and the quality of the end data. This contribution tackles this specific challenge, by studying data storage cost reduction and evaluating its impact on the data quality. The proposed solution compares three approaches of treating the collected data at the road-side unit after taking out unnecessary information details. This solution has been tested and validated through simulations that show promising results.