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Iterative International Publishers eBooks

Communication Technologies for Internet of Things

J R Atharsh, M S Naren, M H Karthik, Nakul Ramana, A Shwetha

Published Sep 10, 2024• 3 citations
Publisher

Abstract

Quantum and Internet of Things (IoT) technologies are driving transformative advancements across various industries, and their integration into drone communications presents promising opportunities for enhancing drone capabilities. This abstract explores the potential of leveraging quantum communication principles in IoT-based drone systems to address key challenges, such as security, data processing, and long range connectivity. The conventional communication methods employed in drones often suffer from vulnerabilities, hindering the secure transmission of sensitive data. Quantum communication, with its inherent security features based on quantum key distribution and entanglement, offers a new paradigm for ensuring data integrity and confidentiality during drone operations. Furthermore, the exponential growth of IoT devices in drones generates massive amounts of data that require efficient processing and analysis. Quantum computing, with its immense computational power, has the potential to accelerate data processing in drone-based IoT applications, enabling real-time decision-making and resource optimization. Moreover, quantum-enhanced long-range communication can significantly extend the reach of drone networks, enabling seamless connectivity even in remote or challenging environments. Leveraging quantum entanglement for long-distance communication may enable efficient data exchange between drones and ground stations, leading to enhanced situational awareness and collaboration among drone fleets. Despite the promising prospects, several technical challenges need to be addressed in realizing quantum enabled IoT communications in drones. These include integrating quantum communication modules into drone platforms, developing robust quantum algorithms for IoT data processing, and addressing issues related to quantum channel noise and coherence

DOI
10.58532/nbennurcech19

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The Internet of Things (IoT) has emerged as an innovative framework, connecting physical devices into intricate networks that monitor and control various aspects of daily life. While traditional technologies such as big data analytics and cloud computing have driven the growth of IoT, the emergence of quantum technologies, spanning quantum computing, quantum communication, and quantum sensing, presents unprecedented opportunities to enhance IoT systems. This paper explores the realistic potential and challenges of integrating quantum technologies into IoT, emphasizing the need for a nuanced understanding of what quantum technologies can achieve to bridge the gap between promise and practical application. By fostering collaboration between disciplines, quantum technologies can shape the future of IoT, improving its security, efficiency, and precision.
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Conventional cryptography relies only on the robustness of mathematical principles. Advancements in quantum computing may use reversible logic to calculate keys and easily compromise the security of traditional computers. The examination of the Internet of Things (IoT) network topology reveals that the whole system's backbone would disintegrate if subjected to an assault or hacking attempt. The Internet of Things (IoT) is a wireless technology that links various objects to the Internet. The Internet of Things (IoT) represents a revolution that must be safeguarded from attackers, since breaches might result in significant, perhaps deadly losses. Consequently, ensuring robust protection of user data in IoT is a significant problem. This study aims to explore the principles of Quantum Key Distribution, examine security considerations for the Internet of Things, and discuss the use of QKD in securing IoT systems. The problem faced is to enhance the range and transmission rate of data in Quantum Key Distribution (QKD) systems, while also exploring potential methods to integrate these systems with current information security measures.