Citation

Khan, Sajjad Ahmad and Kucuk, Kerem and Ashraf, Nausheen and Khan, Yasir Ullah and Ashraf Chaudhry, Shehzad and Roslee, Mardeni (2025) Efficient Data Delivery using the RLS-based Vehicle Tracking in Vehicular Named Data Networking. In: 2025 Multimedia University Engineering Conference, MECON 2025, 21 July 2025 - 23 July 2025, Cyberjaya, Malaysia.

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Abstract

Ensuring reliable data forwarding in Vehicular Named Data Networking (VNDN) presents a significant challenge due to the high mobility and frequent topology changes of vehicles. To address this issue, this paper proposes a novel vehicle tracking and mobility prediction scheme utilizing Recursive Least Squares (RLS) estimation. The proposed RLS-based model dynamically fuses multiple signal parameters, including Received Signal Strength (RSS), GPS coordinates, and vehicle speed, to accurately estimate vehicle locations in real-time. By integrating mobility predictions, the scheme aims to minimize packet loss and delivery failures that commonly arise due to topology changes. The results demonstrate a substantial improvement in Quality of Service (QoS) compared to legacy schemes, with enhanced data dissemination under conditions of high vehicular mobility. This study lays the groundwork for intelligent and reliable dataforwarding techniques, which are essential for the advancement of future connected and autonomous vehicles.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Mobility management, quality of service
Subjects:	T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL1-484 Motor vehicles. Cycles
Divisions:	Faculty of Artificial Intelligence & Engineering (FAIE)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	18 Mar 2026 07:12
Last Modified:	18 Mar 2026 07:12
URII:	http://shdl.mmu.edu.my/id/eprint/15556

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