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Implementation of DEWMA-Based Hello Packet for AODV to Improve the Performance of FANET with 3D-GMM

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Abstract

Flying ad hoc network (FANET) is a new sub-domain of MANET (mobile ad hoc network) with moving nodes known as automated flying vehicles (AFV) carrying various loads such as cameras and sensors to work in a limited geographical area. AFV are wirelessly communicated in a peer-to-peer fashion through hello packets; this periodic hello packet transmission consumes lots of energy. In this paper, a novel deep exponentially weighted moving average (DEWMA) technique is proposed to schedule hello packets using the relative velocity concept in the three-dimensional Gauss–Markov mobility model, which is implemented in the AODV routing protocol. The novel technique uses velocity to schedule hello intermissions in such a way that it not only optimizes power consumption but also considers non-breakage communication. Research involving simulation is currently underway using NS3.27, underscoring the importance of the innovative proposed study in terms of achieving energy savings of 3–26% in high-density and low-density scenarios, respectively. Besides, it outperforms in terms of throughput, PDR, and end-to-end delay network performance.

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Acknowledgements

We express our gratitude to Dr. Umashankar Rawat, a Professor in the Department of Computer Science and Engineering at Manipal University Jaipur, as well as Dr. Arjun Singh and Dr. Gulrej Ahmed, Associate Professors in the Department of Computer and Communication Engineering at Manipal University Jaipur, for their valuable insights and comments on the manuscript. Additionally, we extend our appreciation to the anonymous referees for their constructive suggestions.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Manipal University Jaipur, Dehmi Kalan, Jaipur, Rajasthan, 303007, India

    Hemant Kumar Saini

  2. Department of Computer and Communication Engineering, Manipal University Jaipur, Dehmi Kalan, Jaipur, Rajasthan, 303007, India

    Kusumlata Jain

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Correspondence to Kusumlata Jain.

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The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. We declare that the submitted paper is my original work and no part of it has been published anywhere else in the past. We take full responsibility, that if in future, the paper is found invalid according to basic rules, the last decision will be of the authorities concerned.

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This material or document has been generated by Hemant Kumar Saini and is meant for use only by the persons or entities to whom it is addressed who are working on the same area and finding the latest trends. This document is not for distribution of any kind and may include confidential and/or protected information. It is completely forbidden to review, retransmit, or utilize it in any other way. This document and its contents are subject to change at any time and without notice. To provide potential researchers the chance to comprehend UAV beliefs and opinions with regard to the future, forward-looking statements (if any) are included. This will allow them to use these beliefs and opinions as one aspect in assessing a network’s performance. You should not place undue reliance on these statements because they don’t guarantee future results. Such predictions of future performance or results expressed or implied by such forward-looking statements inherently involve known and unknowable risks and uncertainties, which could materially affect actual performance and results in future periods. Except as required by applicable securities laws, Hemant Kumar Saini and its affiliates disclaim any duty to update forward-looking statements if circumstances, estimates, or opinions change. Readers and investors are advised to exercise independent judgment before making any implementation decisions and not to place undue reliance on forward-looking statements.

This article is part of the topical collection “Advances in Machine Vision and Augmented Intelligence” guest edited by Manish Kumar Bajpai, Ranjeet Kumar, Koushlendra Kumar Singh and George Giakos.

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Saini, H.K., Jain, K. Implementation of DEWMA-Based Hello Packet for AODV to Improve the Performance of FANET with 3D-GMM. SN COMPUT. SCI. 5, 321 (2024). https://doi.org/10.1007/s42979-024-02673-z

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