Title: Improved stability through self-localisation scheme in heterogeneous vehicular clustering

Authors: Iftikhar Ahmad; Zaheed Ahmed; Muhammad Ahmad Al-Rashid

Addresses: Department of CS and IT, Mirpur University of Science and Technology (MUST), Mirpur-10250 (AJK), Pakistan ' Faculty of Computing and Engineering, University of Kotli, AJK, Pakistan ' Department of City and Regional Planning, School of Architecture and Planning, University of Management and Technology, Lahore 54770, Pakistan

Abstract: Intelligent local data processing within vehicular ad hoc networks (VANET) may increase the capabilities of the internet of vehicles (IoVs). To share data effectively, vehicular clusters should be synchronised and stable. Vehicle needs uninterrupted global positioning system (GPS) signal for synchronisation purposes, especially in the urbane environment. GPS interruption leads to an unstable connection that is a big hurdle in developing cost-effective solutions for navigation and route planning applications. To solve this problem a self-location calculation scheme within the vehicular clustering process is proposed. The proposed self-location calculation algorithm enables vehicles to calculate their coordinates in the absence of GPS signals. A clustering mechanism is developed for sharing traffic information system (TIS) data among multiple vehicles over a particular road segment. Sharing of vehicular data in real-time helps vehicles to synchronise well. The developed scheme is simulated and compared with existing known approaches. The results show the better stability of our proposed mechanism over others.

Keywords: VANET; stability; vehicular clustering; synchronisation; localisation.

DOI: 10.1504/IJVICS.2023.132928

International Journal of Vehicle Information and Communication Systems, 2023 Vol.8 No.3, pp.252 - 265

Received: 24 Nov 2020
Accepted: 18 Aug 2021
Published online: 17 Aug 2023 *

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