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Title	Edge Intelligence In Cps
ID_Doc	21790
Authors	Guo Y.; Qian C.; Song J.; Yu W.
Year	2025
Published	Edge Intelligence in Cyber-Physical Systems: Foundations and Applications
DOI	http://dx.doi.org/10.1016/B978-0-44-326572-3.00013-9
Abstract	In this chapter, we explore the integration of Edge Intelligence within Cyber-Physical Systems (CPS), emphasizing the pivotal advancements in emerging technologies like the Internet of Things (IoT), Artificial Intelligence (AI), and Edge Computing. We delve into the layer-wise architectural framework of edge intelligence in CPS with critical components like sensor devices, edge devices, and edge servers. We also show how they work together to enable real-time decision-making and efficient data processing and computing at the network edge. To enable a deeper and more intuitive understanding, we introduce four testbeds for edge-intelligence education and research (focusing on classroom-level hands-on labs and term research projects), each focusing on distinct signal types such as mmWave radar, image sensing, WiFi sensing, and Lidar sensing. These testbeds aim to offer hands-on experience in deploying Edge-AI applications for laboratory and classroom demonstration. After that, we consider multiple case studies with sensor fusion techniques in Edge AI-driven CPS, presenting real-world scenarios where combining data from various types of sensors enhances CPS application performance. Finally, this chapter further reviews the impact of Edge AI across multiple domains in CPS, such as smart transportation, smart cities, smart manufacturing, and smart homes, highlighting the benefits and challenges in system designs and indicating several future research directions for Edge AI-driven CPS at the end of this chapter. © 2025 Elsevier Inc. All rights reserved.
Author Keywords	Cyber-physical system (CPS); Edge intelligence

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