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Packet classification based aerial intelligent relay-road side unit (air-rsu) framework for vehicular ad-hoc networks

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Abstract

In this paper, we propose a packet classification based Aerial Intelligent Relay-Road Side Unit (AIR-RSU) framework introduced in every Relay-Road Side Unit (RRSU) nodes deployed across the transportation environment. The packet classification based AIR-RSU framework consists of two subsystems namely, the connectivity subsystem and packet classifier subsystem. The connectivity subsystem determines the status of network connectivity in various scenarios between RRSU nodes and vehicular nodes for every time instant Ti. In contrast, the packet classifier subsystem is used to differentiate the type of data packet requests that are invoked to access road-assisted service messages of more importance to vehicular nodes and other RRSU nodes in the transportation environment. Results indicate that both the existing AIR-RSU framework and packet classification based AIR-RSU framework provide an average of 70% dynamic network connectivity with a different combination of medium and high network connections. However, comparing to the existing AIR-RSU framework, the packet classification based AIR-RSU framework employs more amount of packet transmission with RRSU nodes due to its locality in the transportation environment.

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Acknowledgments

This research work is supported by the Visvesvaraya Ph.D. Scheme for Electronics and Information Technology, New Delhi. One of the authors, Mr. Samson Arun Raj A, is thankful to the Visvesvaraya Ph.D. Scheme for Electronics and Information Technology for providing financial support to carry out this research work.

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  1. Department of Information Science and Technology, College of Engineering Guindy, Anna University, Chennai, India

    A. Samson Arun Raj & Yogesh Palanichamy

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Correspondence to A. Samson Arun Raj.

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Raj, A.S.A., Palanichamy, Y. Packet classification based aerial intelligent relay-road side unit (air-rsu) framework for vehicular ad-hoc networks. Peer-to-Peer Netw. Appl. 14, 1132–1153 (2021). https://doi.org/10.1007/s12083-021-01092-8

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