Cognitive sensors and associated AI and algorithms are most important components of cognitive science research and studies. This book provides a critical review of the emerging themes of cognitive sensors, how it functions and its applications in a range of disciplines.
Author(s): Varun Bajaj, G. R. Sinha
Series: IOP Series in Sensors and Sensor Systems
Publisher: IOP Publishing
Year: 2022
Language: English
Pages: 277
City: Bristol
PRELIMS.pdf
Preface
Acknowledgements
Editor biographies
G R Sinha
Varun Bajaj
List of contributors
Outline placeholder
Joan F Alonso
K V Arya
Tayebe Azimi
Dayarnab Baidya
Ruchee Bhagwat
Yogiraj Bhale
Mitradip Bhattacharjee
Devanand Bhonsle
Priyanka Nandkishor Chopkar
Chih-Peng Fan
Anupama Gomkale
Sridhar Iyer
N Jeevitha
Amirhossein Koochekian
Sapna Singh Kshatri
Vivek Kumar
Sergio Romero Lafuente
Miquel Angel Mañanas
Marjan Mansourian
Hamid Reza Marateb
Alejandro Bachiller Matarranz
Ravi Mishra
Vishal Moyal
Rimjhim Pandey
Rahul Pandya
Anu G Pillai
Ramjee Prasad
Veena Puranikmath
Manuel Rubio Rivas
Tanu Rizvi
Mónica Rojas-Martínez
Chandramouleeswaran Sankaran (Mouli)
P Saranya
Kumud Saxena
V Senthilkumar
Dhairya Shah
Haard Shah
Manan Shah
Mehdi Shirzadi
Hitesh Singh
Shruti Tiwari
Sourabh Tiwari
Prajakta Upadhye
CH001.pdf
Chapter 1 Introduction to the cognitive Internet of Things
1.1 Introduction
1.2 From the IoT to the CIoT
1.2.1 An overview
1.2.2 Conglomerates of technologies
1.2.3 The principles behind the CIoT
1.2.4 The architecture and layers of the CIoT
1.2.5 The need for massive data analytics in the CIoT
1.2.6 Knowledge discovery in the CIoT
1.2.7 Intelligent decision-making in the CIoT
1.2.8 Protocols in the CIoT
1.2.9 The framework of intelligent decision-making in the CIoT
1.3 The changing landscape due to the CIoT
1.4 Smart city applications using CIoT
1.5 Challenges in the CIoT
1.6 Advantages of the CIoT
1.7 Conclusions
Acknowledgments
References
CH002.pdf
Chapter 2 Internet of Things-based cognitive wireless sensor networks: applications, merits, and demerits
2.1 Introduction
2.1.1 The Internet of Things
2.1.2 Wireless sensor networks
2.1.3 WSNs versus the IoT
2.1.4 CWSNs
2.2 Literature survey
2.3 Methodology
2.3.1 Applications of WSN technologies
2.3.2 CWSN countermeasures
2.4 Results and discussion
2.5 Conclusions and future scope
References
CH003.pdf
Chapter 3 Psychiatric disorders and cognitive impairment following COVID-19: a comprehensive review and its implications for smart healthcare design
3.1 Introduction
3.2 Psychiatric disorders and post-COVID symptoms
3.2.1 Potential tools for analyzing the psychiatric outcomes of post-COVID patients
3.3 Cognitive impairment and post-COVID symptoms
3.3.1 Potential tools for analyzing the cognitive outcomes of post-COVID patients
3.4 Comprehensive literature review
3.5 Smart cities and post-COVID symptoms
3.6 Conclusions and future scope
References
CH004.pdf
Chapter 4 The use of the cognitive Internet of Things for smart sensing applications
4.1 Introduction
4.2 The IoT and the advent of the CIoT
4.2.1 The Internet of Things
4.2.2 Limitations of the IoT
4.2.3 The cognitive Internet of Things
4.2.4 The CIoT architecture
4.3 The roles of big data and cognitive computing in the CIoT
4.4 Cognitive radio and its applications in IoT
4.5 Applications of the CIoT
4.5.1 Smart transport
4.5.2 Industry
4.5.3 The military
4.5.4 Smart cities
4.5.5 Smart healthcare
4.5.6 Smart homes
4.6 Conclusions
References
CH005.pdf
Chapter 5 Design challenges and issues in cognitive sensor networks: a mitigation and deployment perspective
5.1 Introduction
5.2 Wireless sensor networks
5.2.1 Sensor network architecture
5.2.2 Congestion management with common planes
5.2.3 The need for cognitive abilities
5.2.4 Summary
5.3 The knowledge plane in cognitive networks
5.4 Cognitive networks
5.5 Cognitive radio in wireless sensor networks
5.6 Areas of application of cognitive radio wireless sensor networks
5.6.1 Military and public security applications
5.6.2 Security threats in wireless sensor networks
5.6.3 Healthcare
5.6.4 Home appliances and indoor applications
5.6.5 Real-time surveillance applications
5.6.6 Transportation and vehicular networks
5.6.7 Multipurpose sensing
5.7 Challenges in cognitive radio wireless sensor networks
5.7.1 False alarms and misdetection in cognitive radio wireless sensor networks
5.7.2 Complex hardware design
Acknowledgments
References
CH006.pdf
Chapter 6 Cognitive wireless sensor networks
6.1 Introduction to wireless sensor networks
6.1.1 Defining wireless sensor networks
6.1.2 Utilizing networks of wirelessly connected sensors
6.1.3 Constraints of networks in wireless sensor systems
6.2 An introduction to cognitive radio networks
6.2.1 Purposes of cognitive radio
6.3 Wi-Fi sensor network integration with cognitive radio
6.4 The structure of a cognitive wireless sensor network
6.5 Spectrum-sensing device approaches in cognitive wireless sensor networks
6.5.1 Non-cooperative system sensing
6.5.2 System-wide cooperative sensing
6.5.3 The interference-based sensor technique
6.6 Implementing cognitive wireless sensor networks
6.7 Spectral optimization and new technology spaces
6.8 Applications and issues in cognitive wireless sensor networks
6.8.1 Public safety and military applications
6.8.2 Healthcare
6.8.3 Bandwidth-intensive applications
6.8.4 Transport and automobile networks
6.8.5 Virtual surveillance applications
6.9 Summary
Acknowledgments
References
CH007.pdf
Chapter 7 Applications and challenges of IoT-based smart healthcare systems that use cognitive sensors: an overview
7.1 Introduction
7.2 Types of sensor
7.2.1 Sensors classified according to type
7.2.2 Sensors classified according to application
7.2.3 Sensors classified according to sensor placement
7.3 Smart healthcare using cognitive sensors
7.4 Services
7.5 Applications of the IoT in healthcare
7.6 Technologies used in IoT-based healthcare systems
7.7 Challenges in IoT-based healthcare systems
7.8 Security measures
7.8.1 Technical security measures
7.8.2 Non-technical security measures
7.9 Experimental prototype of a smart healthcare system using the IoT
7.10 Conclusions
References
CH008.pdf
Chapter 8 Redundancy issues in wireless sensor networks
8.1 Introduction
8.1.1 Spatial redundancy
8.1.2 Temporal redundancy
8.1.3 Information redundancy
8.2 Related work
8.3 Proposed algorithm
8.4 Quality factors
8.5 Research avenues
8.6 Conclusions
Acknowledgments
References
CH009.pdf
Chapter 9 Sensor-based devices and their applications in smart healthcare systems
9.1 Introduction
9.2 Sensors used in medicine
9.2.1 Invasive sensors
9.2.2 Non-invasive sensors
9.3 Cognitive smart healthcare systems that use the Internet of Medical Things
9.4 The Internet of Medical Things and its applications
9.5 Conclusions
References
CH010.pdf
Chapter 10 Electromagnetic fields and the effects of Internet of Things infrastructure on human health
10.1 Introduction
10.2 EMF exposure studies
10.3 EMF guidelines
10.4 The effects of EMF exposure on human health
10.5 Experimental setup and results
10.6 Conclusions
References
CH011.pdf
Chapter 11 Cognitive sensing in the brain–computer interface: a comprehensive study
11.1 Introduction
11.2 Classification of advanced brain–computer interface technologies
11.2.1 Microelectrodes
11.2.2 Semiconductors
11.2.3 Polymer probes
11.3 The role of cognition in brain–computer interfaces
11.4 General architecture
11.4.1 Data acquisition
11.4.2 Preprocessing
11.4.3 Feature extraction
11.4.4 Feature selection
11.4.5 Motor imagery algorithms
11.5 Comparative analysis
11.5.1 Related work
11.6 Exciting research in the brain–computer interface field
11.7 Challenges and future scope
11.8 Conclusions
References
