Authors : Koffka Khan

Volume/Issue : Volume 8 - 2023, Issue 6 - June

Google Scholar : https://bit.ly/3TmGbDi

Scribd : https://tinyurl.com/4a55nvxu

DOI : https://doi.org/10.5281/zenodo.8143307

Abstract : With the rapid advancement of drone technology, the demand for high-quality and real-time video streaming from drones has significantly increased. However, existing classical computing techniques face numerous challenges in meeting the requirements of efficient video encoding, transmission, and decoding. Quantum computing has emerged as a promising approach to address these limitations by leveraging quantum algorithms and principles to enhance various aspects of video streaming systems. This paper presents a taxonomy for the use of quantum computing in drone video streaming technology. The taxonomy is designed to categorize and classify the diverse applications of quantum computing in the different stages of drone video streaming, including video compression, encryption, transmission, and decoding. The taxonomy framework encompasses both theoretical and practical aspects, considering the current state of quantum computing technologies and their potential impact on drone video streaming. The taxonomy is structured into several key dimensions, including quantum algorithms, quantum- enhanced data compression techniques, quantum encryption methods, and quantum-assisted transmission and decoding strategies. Each dimension is further divided into subcategories that explore specific approaches and methodologies relevant to quantum computing in drone video streaming. Furthermore, the paper highlights the benefits and challenges associated with the adoption of quantum computing in this domain. It discusses how quantum computing can improve video compression efficiency, enhance data security through quantum encryption algorithms, enable faster and more reliable transmission using quantum-assisted techniques, and facilitate real-time video decoding with the aid of quantum algorithms. Through this taxonomy, researchers and practitioners in the field of drone video streaming can gain a comprehensive understanding of the potential applications and implications of quantum computing. It serves as a valuable reference for exploring innovative solutions and design considerations to harness the power of quantum computing in improving the performance and capabilities of drone video streaming systems.

Keywords : Quantum Computing, Drone Video Streaming, Taxonomy, Video Compression, Encryption, Transmission, Decoding.