AVEC: A Statistical Framework for Adaptive Vehicular Edge Data Cleaning
In Vehicle-to-Vehicle and Vehicle-to-Infrastructure (V2X) communication, a large amount of data and information is transmitted over the air by the vehicles. If this data is captured, e.g., by a network of roadside units (RSUs) deployed at strategic locations, cleaned and processed, it may generate an interesting value. The process of cleaning the data involves the removal of data duplicates, as two or more RSUs may capture the same information from the same vehicle. Indeed, a vehicle can be located inside the communication range of multiple RSUs at the same time. The data cleaning process can be achieved through a centralized platform in the backend, where all the deployed RSUs connect and upload their collected data. To avoid overloading the backend, the authors propose to involve the RSUs in the cleaning process. Ideally, the RSU should be able to detect if any received information from a passing vehicle has not been also received by another nearby RSU. To achieve that, the authors use an adaptive probability-based splitting of the sensing range. Such a continuous process allows each RSU to adjust the probability distribution of the communication reliability after a sensing time window and to check parameters of neighbor nodes. Simulation results show the efficiency of the solution and demonstrate its ability to adapt with the network dynamicity, by adjusting the algorithm parameters, until reaching a good level of data cleaning compared to static and random approaches.
- Record URL:
-
Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9789811537493
-
Supplemental Notes:
- © Springer Nature Singapore Pte Ltd. 2020.
-
Corporate Authors:
Springer Singapore
152 Beach Road
Singapore, 189721 -
Authors:
- Brahim, Mohamed Ben
- Menouar, Hamid
-
Conference:
- Third International Workshop on Vehicular Ad-hoc Networks for Smart Cities (IWVCS 2019)
- Location: Paris , France
- Date: 2019-11-13 to 2019-11-13
- Publication Date: 2020-4
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 45-57
- Monograph Title: Vehicular Ad-hoc Networks for Smart Cities: Third International Workshop, 2019
-
Serial:
- Advances in Intelligent Systems and Computing
- Volume: 1144
- Publisher: Springer International Publishing
- ISSN: 2194-5357
- Serial URL: http://link.springer.com/bookseries/11156
Subject/Index Terms
- TRT Terms: Connected vehicles; Data cleaning; Information processing; Wireless communication systems
- Subject Areas: Data and Information Technology; Highways; Vehicles and Equipment;
Filing Info
- Accession Number: 01882647
- Record Type: Publication
- ISBN: 9789811537493
- Files: TRIS
- Created Date: May 23 2023 9:27AM