research-article

A Highly Secured QoS Aware Routing Algorithm for Software Defined Vehicle Ad-Hoc Networks Using Optimal Trust Management Scheme

Authors:

N. V. K. Ramesh,

B. Naresh Kumar ReddyAuthors Info & Claims

Wireless Personal Communications, Volume 113, Issue 4

Pages 1807 - 1821

https://doi.org/10.1007/s11277-020-07293-3

Published: 01 August 2020 Publication History

Abstract

Recent reports show that the millions of people killed each year in the road accidents are due to high density vehicles and traffic environment. The road traffic safety has been an unsolvable problem in recent population. Generally, nodes in vehicle ad hoc networks have a relatively high speed, while there is a major issue to provide the accurate data transmission between two nodes. Many research works have been undertaken to solve these issues by trust based techniques. In this paper, a highly secured QoS aware routing algorithm (HSQ-RA) using optimal trust management scheme is proposed. In HSQ-RA, the multi-hop clustering is performed by improved whale optimization algorithm and the inter-cluster routing is done using the trust values. The multiple constraints are used to calculate the trust of each node and optimized by the trust search algorithm. The simulation result exhibits that the proposed HSQ-RA algorithm provides better quality of service (QoS), delivery rate, faster way to discover routing and reduce loss rate.

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Cited By

Michl MHof HKatzenbeisser SFritz MKrauß CHof H(2024)Classification, Impact, and Mitigation Strategies of Attacks in Automotive Trust Management SystemsProceedings of the 2024 Cyber Security in CarS Workshop10.1145/3689936.3694691(61-75)Online publication date: 20-Nov-2024
https://dl.acm.org/doi/10.1145/3689936.3694691
Zhang LYang XBu Z(2023)Satellite Network State Prediction and Route Planning Policy Using the MPNN AlgorithmProceedings of the 2023 6th International Conference on Electronics, Communications and Control Engineering10.1145/3592307.3592334(174-180)Online publication date: 24-Mar-2023
https://dl.acm.org/doi/10.1145/3592307.3592334
Ye SXu LLi X(2021)Vehicle-Mounted Self-Organizing Network Routing Algorithm Based on Deep Reinforcement LearningWireless Communications & Mobile Computing10.1155/2021/99345852021Online publication date: 1-Jan-2021
https://dl.acm.org/doi/10.1155/2021/9934585

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Published In

cover image Wireless Personal Communications: An International Journal

Wireless Personal Communications: An International Journal Volume 113, Issue 4

Aug 2020

1062 pages

ISSN:0929-6212

Issue’s Table of Contents

© Springer Science+Business Media, LLC, part of Springer Nature 2020.

Publisher

Kluwer Academic Publishers

United States

Publication History

Published: 01 August 2020

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Cited By

Michl MHof HKatzenbeisser SFritz MKrauß CHof H(2024)Classification, Impact, and Mitigation Strategies of Attacks in Automotive Trust Management SystemsProceedings of the 2024 Cyber Security in CarS Workshop10.1145/3689936.3694691(61-75)Online publication date: 20-Nov-2024
https://dl.acm.org/doi/10.1145/3689936.3694691
Zhang LYang XBu Z(2023)Satellite Network State Prediction and Route Planning Policy Using the MPNN AlgorithmProceedings of the 2023 6th International Conference on Electronics, Communications and Control Engineering10.1145/3592307.3592334(174-180)Online publication date: 24-Mar-2023
https://dl.acm.org/doi/10.1145/3592307.3592334
Ye SXu LLi X(2021)Vehicle-Mounted Self-Organizing Network Routing Algorithm Based on Deep Reinforcement LearningWireless Communications & Mobile Computing10.1155/2021/99345852021Online publication date: 1-Jan-2021
https://dl.acm.org/doi/10.1155/2021/9934585

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