Open Access

ARTICLE

Redundant Transmission Control Algorithm for Information-Centric Vehicular IoT Networks

by Abdur Rashid Sangi^1,*, Satish Anamalamudi², Mohammed S. Alkatheiri³, Murali Krishna Enduri², Anil Carie², Mohammed A. Alqarni⁴

1 Department of Computer Science, College of Science and Technology, Wenzhou-Kean University, Wenzhou, 325060, China
2 Department of Computer Science Engineering, SRM University AP, Amaravati, 522502, India
3 Department of Cybersecurity, College of Computer Science & Engineering, University of Jeddah, Jeddah, Saudi Arabia
4 Department of Software Engineering, College of Computer Science & Engineering, University of Jeddah, Jeddah, Saudi Arabia

* Corresponding Author: Abdur Rashid Sangi. Email:

Computers, Materials & Continua 2023, 76(2), 2217-2234. https://doi.org/10.32604/cmc.2023.038305

Received 07 December 2022; Accepted 13 June 2023; Issue published 30 August 2023

Abstract

Vehicular Adhoc Networks (VANETs) enable vehicles to act as mobile nodes that can fetch, share, and disseminate information about vehicle safety, emergency events, warning messages, and passenger infotainment. However, the continuous dissemination of information from vehicles and their one-hop neighbor nodes, Road Side Units (RSUs), and VANET infrastructures can lead to performance degradation of VANETs in the existing host-centric IP-based network. Therefore, Information Centric Networks (ICN) are being explored as an alternative architecture for vehicular communication to achieve robust content distribution in highly mobile, dynamic, and error-prone domains. In ICN-based Vehicular-IoT networks, consumer mobility is implicitly supported, but producer mobility may result in redundant data transmission and caching inefficiency at intermediate vehicular nodes. This paper proposes an efficient redundant transmission control algorithm based on network coding to reduce data redundancy and accelerate the efficiency of information dissemination. The proposed protocol, called Network Cording Multiple Solutions Scheduling (NCMSS), is receiver-driven collaborative scheduling between requesters and information sources that uses a global parameter expectation deadline to effectively manage the transmission of encoded data packets and control the selection of information sources. Experimental results for the proposed NCMSS protocol is demonstrated to analyze the performance of ICN-vehicular-IoT networks in terms of caching, data retrieval delay, and end-to-end application throughput. The end-to-end throughput in proposed NCMSS is 22% higher (for 1024 byte data) than existing solutions whereas delay in NCMSS is reduced by 5% in comparison with existing solutions.

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Keywords

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