Cognitive sensors. Volume 1, Intelligent sensing, sensor data analysis and applications. / edited by G. R. Sinha and Varun Bajaj.

Format:

Book

Contributor:

Sinha, G. R., 1975- editor.

Bajaj, Varun, editor.

Series:

IOP series in sensors and sensor systems.

IOP Series in Sensors and Sensor Systems Series

Language:

English

Subjects (All):

Artificial intelligence.

Internet of things.

Wireless sensor networks.

Physical Description:

1 online resource (278 pages)

Edition:

First edition.

Place of Publication:

Bristol, England : IOP Publishing, [2022]

Summary:

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.

Contents:

Intro

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

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

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

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

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

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

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

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

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

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

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

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.

Notes:

Description based on publisher supplied metadata and other sources.

Description based on print version record.

Includes bibliographical references.

ISBN:

9780750353281

0750353287

OCLC:

1429723563