Internet of Things for Smart Environments (eBook, PDF)

Redaktion: Marques, Gonçalo; González-Briones, Alfonso

• Format: PDF

Produktbeschreibung

This book aims to introduce recent advances in IoT and its applications for smart environments. The state of the art is reviewed with a focus on the technologies, applications, challenges, and opportunities. At this stage, a comprehensive understanding of the formal and practical applications of IoT in the different scenarios of smart environments is necessary to support future research. Therefore, the main contribution of this book is a comprehensive study of the most recent proposals for smart environments. In addition, this book synthesizes existing information and highlights common threads and gaps that lead to new and complex areas of future research. The book covers a range of major research subjects which will foster future implementations. The topics include smart learning environments, crowdsensing applications, participatory citizen sensing, multimodal perception systems and security challenges. This book seeks to provide a valuable framework for future research projects by expounding the topic to academics, engineers, and industry professionals, which is necessary for the design of future IoT architectures for smart environments.

• Merges the two trending engineering disciplines of Internet of Things and Smart Environments;
• Provides an overview of crowdsensing, participatory sensing, and multimodal perception systems;
• Useful for researchers, designers, engineers, and practitioners in smart environments and IoT.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 133
• Erscheinungstermin: 16. September 2022
• Englisch
• ISBN-13: 9783031097294
• Artikelnr.: 65780465

Autorenporträt

Gonçalo Marques holds a PhD in Computer Science Engineering and is member of the Portuguese Engineering Association (Ordem dos Engenheiros). He is currently working as Assistant Professor lecturing courses on programming, multimedia and database systems. Furthermore, he worked as a Software Engineer in the Innovation and Development unit of Groupe PSA automotive industry from 2016 to 2017 and in the IBM group from 2018 to 2019. His current research interests include Internet of Things, Enhanced Living Environments, machine learning, e-health, telemedicine, medical and healthcare systems, indoor air quality monitoring and assessment, and wireless sensor networks. He has more than 80 publications in international journals and conferences, is a frequent reviewer of journals and international conferences and is also involved in several edited books projects.  Alfonso González Briones holds a PhD in Computer Engineering from the University of Salamanca since 2018, his thesis obtained the second place in the 1st SENSORS+CIRTI Award for the best national thesis in Smart Cities (CAEPIA 2018). At the same University he obtained his Bachelor of Technical Engineer in Computer Engineering (2012), Degree in Computer Engineering (2013) and Master in Intelligent Systems (2014). Since 2014, he has worked in different public centres: the BISITE research group at the University of Salamanca and as a postdoc "Juan De La Cierva" in the GRASIA research group at the Complutense University of Madrid, and private ones such as AIR-Institute. Currently, He is an Assistant Professor at the University of Salamanca and researcher in the BISITE Research Group in the Department of Computer Science and Automatics. Alfonso González Briones has published more than 20 articles in journals, more than 40 articles in books and international congresses and has participated in 8 international research projects. He is also a member of the scientific committee of the Advances in Distributed Computing and Artificial Intelligence Journal (ADCAIJ) and British Journal of Applied Science & Technology (BJAST) and is also a regular reviewer of renowned journals, namely IEEE, Springer, Elsevier or MDPI among others. He has participated as chair and member of the technical committee of prestigious international congresses (AIPES, HAIS, FODERTICS, PAAMS, KDIR).

Inhaltsangabe

Chapter 1. Smart learning environments: Overview of effective tools, methods, and models.- Chapter 2. IoT for smart environment applications.- Chapter 3. IoT-based Crowdsensing for Smart Environments.- Chapter 4. Water Monitoring using Internet of Things.- Chapter 5. Participatory citizen sensing with a focus on urban issues.- Chapter 6. Design Strategy of Multimodal Perception System for Smart Environment.- Chapter 7. Cyber-Attack Measures in Smart Cities and Grids.