An Adaptive Cluster based Vehicular Routing Protocol for Secure Communication

Title

An Adaptive Cluster based Vehicular Routing Protocol for Secure Communication

Creator

Divya N.S.; Bobba V.; Vatambeti R.

Description

In todays scenario, Vehicular Ad-hoc Network (VANET) is one of the modern fields in vehicle communication; it includes a large number of nodes that can be changed arbitrarily with the ability to link or exit the system anytime. Moreover, it has various complexities because of the attacks model in the transmission and communication channel. Besides, most of the attacks are known as black hole attack and wormhole attack. The presence of these attacks causes large damage in the data broadcasting region that ends in data drops or collapses. To defeat these problems, a novel Clustered Vehicle Location protocol for Hybrid Krill Herd and Bat Optimization (CVL-HKH-BO) technique is proposed. Thus, the proposed mechanism of hybrid krill herd and bat optimization is to detect and prevent attacks based on the fitness function. Moreover, secure communication can be enhanced by the proposed technique. Consequently, the solution to energy consumption and packet delay issues are solved using the CVL protocol. The projected strategy is implemented in the Network simulator (Ns-2) platform, and the outcomes show the node energy, overload and delay are minimized by increasing the quantity of packets transmitted in the network. Sequentially, the proposed technique is compared with existing techniques in terms of throughput, packet loss, delay time and data broadcasting ratio. Therefore, the duration of the node can be enhanced and can attain high energy capable data transmission. 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Source

Wireless Personal Communications, Vol-127, No. 2, pp. 1717-1736.

Date

2022-01-01

Publisher

Springer

Subject

Delay time; Optimization; Packet loss and data broadcasting ratio; Throughput; Vehicle Ad-hoc network

Coverage

Divya N.S., Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Andhra Pradesh, Vaddeswaram, 520002, India; Bobba V., Department of Computer Science and Engineering, TKR College of Engineering and Technology, Telangana, Hyderabad, 500097, India; Vatambeti R., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, 560072, India

Rights

Restricted Access

Relation

ISSN: 9296212; CODEN: WPCOF

Format

Online

Language

English

Type

Article

Identifier

https://doi.org/10.1007/s11277-021-08717-4

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85109941111&doi=10.1007%2fs11277-021-08717-4&partnerID=40&md5=14dcf0d8b479b4a3c8d2e03aa547be22