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Fuzzy logic‐based trusted routing protocol using vehicular cloud networks for smart cities

Ramesh Kait, Sarbjit Kaur, Purushottam Sharma Orcid Logo, Chhikara Ankita, Tajinder Kumar, Xiaochun Cheng, Cheng Cheng Orcid Logo

Expert Systems

Swansea University Author: Cheng Cheng Orcid Logo

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DOI (Published version): 10.1111/exsy.13561

Abstract

Due to the characteristics of vehicular ad hoc networks, the increased mobility of nodes and the inconsistency of wireless communication connections pose significant challenges for routing. As a result, researchers find it to be a fascinating topic to study. Furthermore, since these networks are vul...

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Published in: Expert Systems
ISSN: 0266-4720 1468-0394
Published: Wiley 2024
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URI: https://cronfa.swan.ac.uk/Record/cronfa65860
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spelling v2 65860 2024-03-18 Fuzzy logic‐based trusted routing protocol using vehicular cloud networks for smart cities 11ddf61c123b99e59b00fa1479367582 0000-0003-0371-9646 Cheng Cheng Cheng Cheng true false 2024-03-18 SCS Due to the characteristics of vehicular ad hoc networks, the increased mobility of nodes and the inconsistency of wireless communication connections pose significant challenges for routing. As a result, researchers find it to be a fascinating topic to study. Furthermore, since these networks are vulnerable to various assaults, providing an authentication method between the source and destination nodes is crucial. How to route in such networks more efficiently, taking into account node mobility characteristics and accompanying massive historical data, is still a matter of discussion. Fuzzy logic-based Trusted Routing Protocol for vehicular cloud networks (FTRP) is proposed in this study that determines the secure path for data dissemination. Fuzzy Logic determines the node candidacy value and selects or rejects a path accordingly. The cloud assigns a confidence score to each vehicle based on the data it collects from nodes after each interaction. Our study identifies the secure path on the basis of trust along with factors such as speed, closeness to other nodes, signal strength and distance from the neighbouring nodes. Simulations of the novel protocol demonstrate that it can keep the packet delivery ratio high with little overhead and low delay. FTRP has significant implications for deploying Vehicular Cloud Networks using electric vehicle technologies in smart cities. The routing data is collected with the help of Internet of Technology (IOT) sensors. The information is transmitted between vehicles using IOT gateways. Journal Article Expert Systems 0 Wiley 0266-4720 1468-0394 fuzzy routing, smart cities, trust computation, vehicular cloud networks, vehicular cloudnetworks 27 2 2024 2024-02-27 10.1111/exsy.13561 Data availability statement: Data sharing is not applicable to this article as no new data were created or analyzed in this study. COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University SU Library paid the OA fee (TA Institutional Deal) Swansea University 2024-04-17T16:49:31.8013462 2024-03-18T16:39:00.2060375 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Ramesh Kait 1 Sarbjit Kaur 2 Purushottam Sharma 0000-0002-8037-7152 3 Chhikara Ankita 4 Tajinder Kumar 5 Xiaochun Cheng 6 Cheng Cheng 0000-0003-0371-9646 7 65860__29741__1482c50425bd4442b227c08cb3e7231d.pdf 65860_VoR.pdf 2024-03-18T16:46:53.7928369 Output 3495341 application/pdf Version of Record true © 2024 The Authors. This is an open access article under the terms of the Creative Commons Attribution License. true eng http://creativecommons.org/licenses/by/4.0/
title Fuzzy logic‐based trusted routing protocol using vehicular cloud networks for smart cities
spellingShingle Fuzzy logic‐based trusted routing protocol using vehicular cloud networks for smart cities
Cheng Cheng
title_short Fuzzy logic‐based trusted routing protocol using vehicular cloud networks for smart cities
title_full Fuzzy logic‐based trusted routing protocol using vehicular cloud networks for smart cities
title_fullStr Fuzzy logic‐based trusted routing protocol using vehicular cloud networks for smart cities
title_full_unstemmed Fuzzy logic‐based trusted routing protocol using vehicular cloud networks for smart cities
title_sort Fuzzy logic‐based trusted routing protocol using vehicular cloud networks for smart cities
author_id_str_mv 11ddf61c123b99e59b00fa1479367582
author_id_fullname_str_mv 11ddf61c123b99e59b00fa1479367582_***_Cheng Cheng
author Cheng Cheng
author2 Ramesh Kait
Sarbjit Kaur
Purushottam Sharma
Chhikara Ankita
Tajinder Kumar
Xiaochun Cheng
Cheng Cheng
format Journal article
container_title Expert Systems
container_volume 0
publishDate 2024
institution Swansea University
issn 0266-4720
1468-0394
doi_str_mv 10.1111/exsy.13561
publisher Wiley
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
document_store_str 1
active_str 0
description Due to the characteristics of vehicular ad hoc networks, the increased mobility of nodes and the inconsistency of wireless communication connections pose significant challenges for routing. As a result, researchers find it to be a fascinating topic to study. Furthermore, since these networks are vulnerable to various assaults, providing an authentication method between the source and destination nodes is crucial. How to route in such networks more efficiently, taking into account node mobility characteristics and accompanying massive historical data, is still a matter of discussion. Fuzzy logic-based Trusted Routing Protocol for vehicular cloud networks (FTRP) is proposed in this study that determines the secure path for data dissemination. Fuzzy Logic determines the node candidacy value and selects or rejects a path accordingly. The cloud assigns a confidence score to each vehicle based on the data it collects from nodes after each interaction. Our study identifies the secure path on the basis of trust along with factors such as speed, closeness to other nodes, signal strength and distance from the neighbouring nodes. Simulations of the novel protocol demonstrate that it can keep the packet delivery ratio high with little overhead and low delay. FTRP has significant implications for deploying Vehicular Cloud Networks using electric vehicle technologies in smart cities. The routing data is collected with the help of Internet of Technology (IOT) sensors. The information is transmitted between vehicles using IOT gateways.
published_date 2024-02-27T16:49:28Z
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score 11.016235

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