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Fuzzy logic‐based trusted routing protocol using vehicular cloud networks for smart cities
Ramesh Kait,
Sarbjit Kaur,
Purushottam Sharma 
,
Chhikara Ankita,
Tajinder Kumar,
Xiaochun Cheng,
Cheng Cheng
,
Chhikara Ankita,
Tajinder Kumar,
Xiaochun Cheng,
Cheng Cheng
Expert Systems
Swansea University Author:
Cheng Cheng
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© 2024 The Authors. This is an open access article under the terms of the Creative Commons Attribution License.
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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...
| Published in: | Expert Systems |
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| ISSN: | 0266-4720 1468-0394 |
| Published: |
Wiley
2024
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa65860 |
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| 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 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. |
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| Item Description: |
Data availability statement: Data sharing is not applicable to this article as no new data were created or analyzed in this study. |
| Keywords: |
fuzzy routing, smart cities, trust computation, vehicular cloud networks, vehicular cloudnetworks |
| College: |
Faculty of Science and Engineering |
| Funders: |
Swansea University |