Original scientific paper

https://doi.org/10.17559/TV-20211216115635

Efficient Privacy-Preserving Red Deer Optimization Algorithm with Blockchain Technology for Clustered VANET

Kalimuthu Vinoth Kumar orcid.org/0000-0002-8920-4936 ; Department of ECE, Faculty of Computer Science and Multimedia, Lincoln University College, Malaysia
Balaganesh Duraisamy ; Faculty of Computer Science and Multimedia, Lincoln University College, Malaysia

Abstract

Vehicular Adhoc Network (VANET) is a version of Mobile Adhoc Network (MANET). Owing to an increase in road accidents, VANET offers safety to road vehicles through appropriate coordination with vehicles and road side units. Along with the security guidelines of the vehicles in the network, privacy and security become vital parameters that need to be accomplished for secure data transmission in VANET. This study develops an efficient privacy-preserving data transmission architecture using red deer optimization algorithm based clustering with blockchain technology (RDOAC-BT) in cluster-based VANET. The proposed RDOAC-BT technique involves the design of RDOA based clustering technique to elect cluster heads (CHs) and construct clusters. In addition, blockchain technology is employed for secured transmission in VANET. Moreover, the blockchain is utilized to perform intra-cluster and inter-cluster communication processes. A wide range of simulations take place and the results are examined under varying aspects. The resultant outcome portrayed the betterment of the RDOAC-BT technique over the recent techniques.

Keywords

blockchain technology; CH selection; clustering; privacy; security; VANET

Hrčak ID:

275286

URI

https://hrcak.srce.hr/275286

Publication date:

19.4.2022.

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