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A Beginner's Guide to Data Agglomeration and Intelligent Sensing
- 1st Edition - February 19, 2020
- Authors: Amartya Mukherjee, Ayan Kumar Panja, Nilanjan Dey
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 2 0 3 4 1 - 5
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 2 0 3 4 5 - 3
A Beginners Guide to Data Agglomeration and Intelligent Sensing provides an overview of the Sensor Cloud Platform, Converge-casting, and Data Aggregation in support of intellige… Read more
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Request a sales quoteA Beginners Guide to Data Agglomeration and Intelligent Sensing provides an overview of the Sensor Cloud Platform, Converge-casting, and Data Aggregation in support of intelligent sensing and relaying of information. The book begins with a brief introduction on sensors and transducers, giving readers insight into the various types of sensors and how one can work with them. In addition, it gives several real-life examples to help readers properly understand concepts. An overview of concepts such as wireless sensor networks, cloud platforms, and device-to-cloud and sensor cloud architecture are explained briefly, as is data gathering in wireless sensor networks and aggregation procedures.
Final sections explore how to process gathered data and relay the data in an intelligent way, including concepts such as supervised and unsupervised learning, software defined networks, sensor data mining and smart systems.
- Presents the latest advances in data agglomeration for intelligent sensing
- Discusses the basic concepts of sensors, real-life applications of sensors and systems, the protocols and applications of wireless sensor networks, the methodology of sensor data accumulation, and real-life applications of Intelligent Sensor Networks
- Provides readers with an easy-to-learn and understand introduction to the concepts of the cloud platform, Sensor Cloud and Machine Learning
Computer/data scientists, biomedical engineers, researchers and software engineers in the areas of data aggregation, sensor cloud architecture, intelligent sensing, and its applications
1. Introduction to sensors and system
1.1 Fundamentals of sensors/transducers
1.2 Principles and properties
1.3 Classification of sensors
1.4 Networking methodology
1.5 Types of sensors
1.6 Smart sensors and transducers
1.7 Summary
References
2. Real-life application of sensors and systems
2.1 Overview of Internet of things
2.2 Design perspective
2.3 Related platform
2.4 Real-life examples and implementation
2.5 WSN simulation environments
2.6 Summary
References
3. Wireless sensor network: principle and application
3.1 Wireless communication and sensor networks
3.2 Sensor components and technology
3.3 Sensor network protocols
3.4 Sensor networks application scenario
3.5 Summary
References
4. Overview of sensor cloud
4.1 Basics of cloud computing
4.2 Types of clouds
4.3 Cloud computing models
4.4 Sensor cloud platform
4.5 Sensor cloud architecture
4.6 Sensor cloud workflow
4.7 Application scenario
4.8 Summary
References
5. Sensor data accumulation methodologies
5.1 Sensor data classification
5.2 Data transmission methodology
5.3 Convergecast: inverse of broadcasting
5.4 Data aggregation
5.5 Choice of MAC layer
5.6 Energy analysis
5.7 Data collection methodologies
5.8 Types of aggregation
5.9 Summary
References
Further reading
6. Intelligent sensor network
6.1 Introduction
6.2 Intelligence hierarchy
6.3 Preliminary concepts of AI and Machine Learning
6.4 Intelligent approaches in WSN node deployment
6.5 Intelligent routing overview
6.6 Sensor data mining
6.7 Intelligent sensor network applications
6.8 Summary
References
Further reading
7. Conclusion
7.1 Chapters 1 and 2
7.2 Chapters 3 and 4
7.3 Chapters 5 and 6
7.4 Scope for future enhancement
Index
- No. of pages: 198
- Language: English
- Edition: 1
- Published: February 19, 2020
- Imprint: Academic Press
- Paperback ISBN: 9780128203415
- eBook ISBN: 9780128203453
AM
Amartya Mukherjee
Amartya Mukherjee received his M.Tech from NIT Durgapur and is presently pursuing a PhD from Maulana Abul Kalam Azad University of Technology, Kalyani. He is currently the head of the Department of Computer Science & Engineering (AIML). He has over 14 years of teaching experience in the field of Computer Science. He has written numerous books and research articles in the field of IoT, embedded application development, wireless communication, and smart systems for various renowned publishing companies, like IEEE, Elsevier, Springer, Taylor & Francis, and World Scientific Press. His Embedded Systems & Robotics with Opensource Tools is one of the bestselling books in embedded application development. His research interests include flying ad-hoc networks, IoT, IoDT, intelligent systems, 5G and 6G communication, and machine learning.
Affiliations and expertise
Department of Computer Science and Engineering (AIML), Institute of Engineering and Management, Salt Lake, Kolkata, India.AK
Ayan Kumar Panja
Ayan Kumar Panja is currently Assistant Professor at the Institute of Engineering and Management, Kolkata, India. His main research is Machine Learning, Pattern Recognition, Audio Signal Processing, Wireless Communication and Sensor Networks.
Affiliations and expertise
Assistant Professor, Institute of Engineering and Management, Salt Lake, Kolkata, IndiaND
Nilanjan Dey
Nilanjan Dey is an Associate Professor in the Department of Computer Science and Engineering, JIS University, Kolkata, India. He is a visiting fellow of the University of Reading, UK, and also holds the position of Adjunct Professor at Ton Duc Thang University, Ho Chi Minh City, Vietnam. Previously, he held the honorary position of Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012–2015). He got his PhD from Jadavpur University in 2015. He is the Editor-in-Chief of the International Journal of Ambient Computing and Intelligence, IGI Global, USA. He is the Series Co-Editor of Springer Tracts in Nature-Inspired Computing (Springer Nature), Data-Intensive Research (Springer Nature), Advances in Ubiquitous Sensing Applications for Healthcare (Elsevier). He is an associate editor of IET Image Processing (Wiley) and an editorial board member of Complex & Intelligent Systems (Springer Nature), Applied Soft Computing (Elsevier), and more. He has written 110 books and over 300 other publications in the areas of medical imaging, machine learning, computer aided diagnosis, data mining, etc. His works have been cited over 15,000 times. He is India’s Ambassador to the International Federation for Information Processing—Young ICT Group and a senior member of IEEE.
Affiliations and expertise
Department of Computer Science & Engineering, Maulana Abul Kalam Azad JIS University, Agarpara, Kolkata, India.Read A Beginner's Guide to Data Agglomeration and Intelligent Sensing on ScienceDirect