Integration of Edge AI With Cloud Computing and Drone Technology: An Analysis

Integration of Edge AI With Cloud Computing and Drone Technology: An Analysis

Anuj Rawat (Sharda University, India), Vishal Jain (Infrastructure University Kuala Lumpur, Malaysia & Sharda University, Greater Noida, India), Ng Khai Mun (Kuala Lumpur University of Science and Technology (KLUST), Malaysia), and Danish Ather (Amity University, Tashkent, Uzbekistan)
DOI: 10.4018/979-8-3693-8497-8.ch009
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Abstract

Artificial Intelligence is rapidly becoming an integral part of our daily lives. There is a growing interest in artificial intelligence and related technologies. The chapter focuses on the integration of edge AI with cloud computing in the drone technology system, highlighting how this combination enhances overall efficiency. It provides a comparative analysis of edge AI and cloud AI, evaluating their impact on performance, setup costs, and scalability. This study offers a thorough analysis of the most relevant academic works concerning the uses of UAV technology in terms of enabled or aided Edge AI systems. It describes how UAV-enabled Mobile Edge Computing architecture might be useful for new applications and how it can help overcome a variety of constraints like latency, task offloading, energy consumption, and security. The reader also learns about the advantages and the critical challenges to be tackled when using AI
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