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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      07 April 2023, Volume 38 Issue 2   
    Article

    BLOCK CHAIN FRAMEWORK FOR VEHICLE COLLISION AVOIDANCE: A BREAKTHROUGH IN VEHICULAR INTERNET OF THINGS
    S.Sharanya1, SV. Shri Bharathi2, *R.Radha 3
    Journal of Data Acquisition and Processing, 2023, 38 (2): 3534-3544 . 

    Abstract

    Recent times have witnessed tremendous development in the genre of autonomous vehicles. The rampant evolution in Information and Communication technologies, Internet of Things, Artificial Intelligence and Block Chain has changed the human lifestyle. The profound impact of these technologies has raised the market of building safe and reliable vehicles. The proposed framework taps the Block chain technology, a decentralized ledger scheme with high degree of reliability in developing a spatio-temporal collision avoidance system. The heterogeneous sensors deployed at every vehicle monitors the motion of vehicle and forewarns all the nodes connected to the system about the chances of collisions based on individual vehicle’s motion and proximity. This framework can be implemented on the existing network infrastructure. The design challenges discussed in the latter part offers a wide scope for future researchers in building autonomous vehicles with ensured safety.

    Keyword

    Block chain technology, Vehicular IoT, Road Side Units, transaction, Collision avoidance, Sensors


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ISSN 1004-9037

         

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