Getting Started with Enterprise Internet of Things: Design Approaches and Software Architecture Models 1st ed. 2020 [Hardback]

  • Formāts: Hardback, 142 pages, height x width: 235x155 mm, weight: 450 g, 30 Tables, color; 40 Illustrations, color; 1 Illustrations, black and white; XII, 142 p. 41 illus., 40 illus. in color., 1 Hardback
  • Izdošanas datums: 17-Apr-2020
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030309444
  • ISBN-13: 9783030309442
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  • Formāts: Hardback, 142 pages, height x width: 235x155 mm, weight: 450 g, 30 Tables, color; 40 Illustrations, color; 1 Illustrations, black and white; XII, 142 p. 41 illus., 40 illus. in color., 1 Hardback
  • Izdošanas datums: 17-Apr-2020
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030309444
  • ISBN-13: 9783030309442

This novel textbook introduces Enterprise Internet of Things from technology, management and business perspectives, carefully examining enterprise environments through the lens of modernization with the Internet of Things (IoT). It also includes detailed case studies to offer meaningful insights for readers from various disciplines and areas.

The book analyzes the ways in which the technology could contribute to the enterprise world in terms of revenue and new business models, and addresses the strategies and principles involved in developing IoT solutions with software engineering practices such as DevOps and Micro services architecture principles. By doing so, it offers readers a clear overview of the power of Internet of Things in building next generation enterprise use cases.

The book enables readers to understand the latest opportunities to create new business models in enterprises using the unprecedented level of device connectivity, and the wealth of data generated and information exchange among these devices. As such, it appeals to various user groups, such as engineers trying to solve problems in their own domains using Enterprise IoT, academics interested in gaining a better understanding of applications of IoT in large-scale enterprises, and researchers wanting to contribute to the ever-growing and complex area of IoT.

Chapter 1 The IoT Ecosystem 1.1 M2M vs IoT Architecture 1.2 Functional requirements 1.3 Sensing & Actuation 1.4 Communication and Networking Protocols: 1.4.1 Wi-Fi 1.4.2 ZigBee 1.4.3 Low Energy Bluetooth 1.4.4 LoRa 1.4.5 6LoWPAN
Chapter 2 Intelligence at the Edge and the Cloud 2.1 Sensor data aggregation 2.2 Edge Analytics 2.3 Machine Learning for multimodal sensor fusion 2.4 Streaming Data Analytics 2.5 Preventive Maintenance 2.6 Predictive Analytics
Chapter 3 Opportunities for IoT in Digital Enterprises 4.1 The challenges of Enterprise IoT 4.2 Business Process Improvement 4.3 Productivity Improvement 4.4 Time to Market
Chapter 4 IoT Architecture for an Enterprise 5.1 Enterprise IoT: Technology Stack 5.2 Middleware layer and Service Oriented Architecture 5.3 Software Architectures for IoT Application development
Chapter 5 IoT Application Development platforms 6.1 Intel IoT Platform 6.2 Azure IoT 6.3 Amazon AWS 6.4 Open source offerings
Chapter 6 Integration of Enterprise operations and management 7.1 IoT Adoption in enterprises 7.2 Devops 7.3 Microservices architectures 7.4 Monolith vs Microservices based on the enterprise demands 7.5 Agile development for IoT
Chapter 7 Advanced concepts 8.1 IoT with block chain 8.2 Cognitive IoT for Enterprises 8.3 IoT with Augmented Reality and Virtual Reality
Chapter 8 IoT for Smart Manufacturing
Chapter 9 Implications of IoT in Smart Grids
Chapter 10 Intelligent Transportation Systems
L.S. Jayashree is currently serving as a Professor at the Computer Science and Engineering Department of PSG College of Technology, Tamilnadu, India. She is a Fellow of Institution of Engineers (India) and Senior member of IEEE. She is also an active member of other professional bodies like ACM, CSI and CSTA. She has received a number of prestigious best project awards, and has published more than 200 papers in national and international refereed journals and conference proceedings. Her research papers have been abstracted and indexed in ACM, IEEE Xplore, SCI, SCI-E, Scopus, Thomson Reuters, CiteSeer, and Scopus. Her areas of expertise include mobile and wireless networking technologies, wireless sensor networks, IoT-based systems and applied soft computing. She has chaired several sessions at national and international conferences and is a reviewer for various international journals. She is currently involved in two R & D projects funded by the Department of Science and Technology, Government of India, as well as consultancy work in the field of artificial intelligence applications for assistive technology solutions. G. Selvakumar is currently working as an Associate Professor at the Computer Science and Engineering Department at Sri Shakthi Institute of Engineering Technology, Coimbatore, India. He received his Bachelor of Engineering, Computer Science and Engineering degree in 2001 and Master of Engineering , Computer Science and Engineering degree in 2005. He has 5 years of experience in developing enterprise software applications especially for the banking and capital markets industry in Capgemini, India. He has expertise in Java, J2EE, web technologies and Android mobile applications development. He has 8 years of teaching and research experience. His primary research interests are Internet of Things, cloud computing and enterprise applications development, and he has published 10 papers in international journals and conferences. He is currently pursuing his Ph.D at Anna University, Chennai, India. L. Ashok Kumar is a Professor at the Department of Electrical & Electronics Engineering, PSG College of Technology, Coimbatore. He is a Postdoctoral Research Fellow at San Diego State University, California, and received a BHAVAN fellowship from Indo US Science and Technology Forum. He has authored 6 books, holds 5 patents, has completed 16 Government-of-India-funded projects and is involved in 8 current projects. His areas of interest include wearable electronics, power electronics & drives, smart grid, solar PV and wind energy systems.