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Insight of Unmanned Aerial Vehicles Accessing Ensemble Techniques

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Abstract

With the global standardization and deployment of the Internet of Things and wireless communication technologies along with rapid growth of applications (micro as well as macro) amongst these areas, unmanned aerial vehicles (UAVs) are appearing as swiftly emerging research hotspots. Moreover, in comparison with the ground oriented solutions, the adoption of UAVs is expected to rise exponentially taking their spectral efficiency and improved coverage into consideration. But certainly, there would be some issues related with this degree of freedom. In this context, the ensemble methods of advanced machine learning are expected to come to the rescue of already figured out problems related to the typical UAV communication. In the light of the same, this research paper addresses review of all the relevant research works in the application domain which utilizes various advanced ensemble techniques melded for the improvement of communication in UAV systems. Challenges and proposed solutions for the ensemble enabled UAVs are also addressed as a part of this work.

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  1. Department of Computer Science & Engineering and Information Technology, Jaypee Institute of Information Technology, Noida, India

    Chetna Dabas

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  1. Chetna Dabas
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Correspondence to Chetna Dabas.

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This article is part of the topical collection “Advanced Computing and Data Sciences” guest edited by Mayank Singh, Vipin Tyagi and P.K. Gupta.

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Dabas, C. Insight of Unmanned Aerial Vehicles Accessing Ensemble Techniques. SN COMPUT. SCI. 2, 458 (2021). https://doi.org/10.1007/s42979-021-00842-y

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