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A Case Study on Achieving Fair Data Age Distribution in Vehicular Communications
KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.).ORCID iD: 0000-0003-2649-5921
KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.).
KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.ORCID iD: 0000-0001-5703-5923
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2017 (English)In: PROCEEDINGS OF THE 23RD IEEE REAL-TIME AND EMBEDDED TECHNOLOGY AND APPLICATIONS SYMPOSIUM (RTAS 2017) / [ed] Parmer, G, IEEE , 2017, p. 307-317Conference paper, Published paper (Refereed)
Abstract [en]

In vehicular communication protocol stacks, received messages may not always be decoded successfully due to the complexity of the decoding functions, the uncertainty of the communication load and the limited computation resources. Even worse, an improper implementation of the protocol stack may cause an unfair data age distribution among all the communicating vehicles (the receiving bias problem). In such cases, some vehicles are almost locked out of the vehicular communication, causing potential safety risk in scenarios such as intersection passing. To our knowledge, this problem has not been systematically studied in the fields of vehicular communication and intelligent transport systems (ITS). This paper analyzes the root of the receiving bias problem and proposes architectural solutions to balance data age distribution. Simulation studies based on commercial devices demonstrate the effectiveness of these solutions. In addition, our system has been successfully applied during the Grand Cooperative Driving Challenge, where complicated scenarios involving platooning maneuvering and intersection coordination were conducted.

Place, publisher, year, edition, pages
IEEE , 2017. p. 307-317
Series
IEEE Real-Time and Embedded Technology and Applications Symposium, ISSN 1545-3421
National Category
Mechanical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-215487DOI: 10.1109/RTAS.2017.7ISI: 000411195100034Scopus ID: 2-s2.0-85021802444ISBN: 978-1-5090-5269-1 OAI: oai:DiVA.org:kth-215487DiVA, id: diva2:1149116
Conference
23rd IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), APR 18-21, 2017, Pittsburgh, PA
Note

QC 20171013

Available from: 2017-10-13 Created: 2017-10-13 Last updated: 2017-10-23Bibliographically approved

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Zhang, XinhaiSong, XinwuFeng, LeiTörngren, Martin

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