BloCkEd: Blockchain-Based Secure Data Processing Framework in Edge Envisioned V2X Environment

There has been an increasing trend of moving computing activities closer to the edge of the network, particularly in smart city applications (e.g., vehicle-to-everything - V2X). Such a paradigm allows the end user's requests to be handled/processed by nodes at the edge of the network; thus, reducing latency, and preserving privacy of user data/activities. However, there are a number of challenges in such an edge computing ecosystem. Examples include (1) potential inappropriate utilization of resources at the edge nodes, (2) operational challenges in cache management and data integrity due to data migration between edge nodes, particularly when dealing with vehicular mobility in a V2X application, and (3) high energy consumption due to continuous link breakage and subsequent reestablishment of link(s). Therefore in this paper, the authors design a blockchain-based secure data processing framework for an edge envisioned V2X environment (hereafter referred to as BloCkEd). Specifically, a multi-layered edge-enabled V2X system model for BloCkEd is presented, which includes the formulation of a multi-objective optimization problem. In addition, BloCkEd comprises an optimal container-based data processing scheme, and a blockchain-based data integrity management scheme, designed to minimize link breakage and reducing latency. Using Chandigarh City, India, as the scenario, the authors implement and evaluate the proposed approach in terms of its latency, energy consumption, and service level agreement compliance.

• Record URL:
  http://dx.doi.org/10.1109/TVT.2020.2972278
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/00189545
• Supplemental Notes:
  • Copyright © 2020, IEEE.
• Authors:
  • Aujla, Gagangeet Singh
  • Singh, Amritpal
  • Singh, Maninderpal
  • Sharma, Sumit
  • Kumar, Neeraj
  • Choo, Kim-Kwang Raymond
• Publication Date: 2020-6

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 5850-5863
• Serial:
  • IEEE Transactions on Vehicular Technology
  • Volume: 69
  • Issue Number: 6
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • ISSN: 0018-9545
  • Serial URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=25

Subject/Index Terms

• TRT Terms: Cloud computing; Databases; Information processing; Task analysis; Vehicle to infrastructure communications; Vehicle to vehicle communications; Vehicular ad hoc networks; Wireless communication systems
• Subject Areas: Data and Information Technology; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01753398
• Record Type: Publication
• Files: TRIS
• Created Date: Sep 29 2020 9:58AM