Wellness Protocol for Smart Homes (eBook)

An Integrated Framework for Ambient Assisted Living
eBook Download: PDF
2017 | 1st ed. 2017
XI, 160 Seiten
Springer International Publishing (Verlag)
978-3-319-52048-3 (ISBN)

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Wellness Protocol for Smart Homes - Hemant Ghayvat, Subhas Chandra Mukhopadhyay
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This book focuses on the development of wellness protocols for smart home monitoring, aiming to forecast the wellness of individuals living in ambient assisted living (AAL) environments. It describes in detail the design and implementation of heterogeneous wireless sensors and networks as applied to data mining and machine learning, which the protocols are based on. Further, it shows how these sensor and actuator nodes are deployed in the home environment, generating real-time data on object usage and other movements inside the home, and therefore demonstrates that the protocols have proven to offer a reliable, efficient, flexible, and economical solution for smart home systems.

Documenting the approach from sensor to decision making and information generation, the book addresses various issues concerning interference mitigation, errors, security and large data handling. As such, it offers a valuable resource for researchers, students and practitioners interested in interdisciplinary studies at the intersection of wireless sensing processing, radio communication, the Internet of Things and machine learning, and in how they can be applied to smart home monitoring and assisted living environments.

Preface 7
Contents 8
1 Introduction 11
Abstract 11
1.1 Introduction 11
1.2 Motivation of Designing Homes for Tomorrow 11
1.2.1 Independent Living 11
1.2.2 Enhance the Comfort and Lifetime 13
1.2.3 Health Services 14
1.2.4 Efficient Use of Electricity 14
1.2.5 Safety and Security 15
1.3 Problem Formulation 15
1.4 Problem Solution 16
1.5 Reasoning of Wellness Protocol and Approach 17
1.6 Scope of Book 18
1.7 Novel Contribution 18
1.8 Book Overview 19
References 20
2 Literature Survey 22
Abstract 22
2.1 Introduction 22
2.2 Smart Home for Wellness 23
2.3 Entities of Smart Home Systems 24
2.3.1 Sensors and Actuators 26
2.3.2 Controller and Processing Unit 27
2.3.3 Defined Wireless Networking Protocols 27
2.3.4 Local Home Gateway and Server 30
2.4 Smart Homes Around the World 33
2.5 Activity Recognition Algorithms and Approaches 46
2.6 Issues of Deployment 50
2.7 Large Data Handling 52
2.8 Introducing Internet of Things, Web of Things and Cloud Computing 53
2.9 Conclusion 54
References 54
3 Wellness Protocol Development and Implementation 61
Abstract 61
3.1 A Brief About Wellness Protocol System 61
3.2 Wellness Approach to Protocol Development 62
3.2.1 Intelligent Sampling and Transmission Control Algorithm 65
3.2.2 Interference Mitigation 70
3.2.3 Wellness Dynamic Key Generation for Security 71
3.3 Wellness Sensing Units for Home Monitoring and Control 76
3.4 Wireless Topology, Network Formation for Smart Home System 80
3.5 Deployment of Heterogeneous Wireless Sensing Units in a Home 81
3.6 Healthcare 83
3.6.1 Software Description 86
3.6.2 Angle Calculation Algorithm 86
3.7 Desired Number of Wireless Sensing Units for AAL 87
3.8 Data Extraction, Storage and User Interface 88
3.9 Evaluation of Wellness Protocol Data Reliability 93
3.10 Software Required for Wellness System 97
3.11 Comparison of Wellness Over ZigBee 97
3.12 Conclusion 98
References 98
4 Issues and Mitigation of WSNs-Based Smart Building System 100
Abstract 100
4.1 Introduction 100
4.2 Description of Smart Building System 101
4.3 Methodology to Measure Interference and Attenuation Loss 102
4.3.1 Latency 103
4.3.2 Data-Packet Delivery Parameters 104
4.3.3 Link Quality Metrics 106
4.3.3.1 The Received Signal Strength Indicator (RSSI) 106
4.3.3.2 Signal to Noise Ratio (SNR) 108
4.4 Experimental Observations, Analysis, and Mitigation 108
4.4.1 Fundamental Tests 108
4.4.2 Analytical and Parametric Tests 111
4.4.3 Signal Attenuation Inside Smart Building 112
4.4.4 Direction of Arrival (DOA) 116
4.4.5 Mitigation of Interference and Suggestions 121
4.5 Conclusion 126
References 126
5 Activity Detection and Wellness Pattern Generation 128
Abstract 128
5.1 Introduction 128
5.2 Classification of Events and Activities 129
5.3 Activity Annotation 131
5.4 Wellness Belief Model 133
5.4.1 Methodology 134
5.4.2 Modeling the Wellness Belief 135
5.5 Wellness Determination of an Occupant 138
5.5.1 Old Wellness Function 139
5.5.2 Modified Wellness Function 139
5.5.3 Measurement of Maximum Active and Inactive Object Usage Duration 141
5.6 Experimental Analysis, Observation, and Results 143
5.7 Web-Based Results 147
5.8 Conclusion 149
References 150
6 Wellness Pattern Generation and Forecasting 151
Abstract 151
6.1 Modelling Trends and Forecasting 151
6.2 Behavioural Pattern Generation and Forecasting 152
6.3 Comparative Results 156
6.4 Conclusion 163
References 163
7 Conclusion and Future Works 164
Abstract 164

Erscheint lt. Verlag 5.1.2017
Reihe/Serie Smart Sensors, Measurement and Instrumentation
Zusatzinfo XI, 160 p. 115 illus. in color.
Verlagsort Cham
Sprache englisch
Themenwelt Mathematik / Informatik Informatik Datenbanken
Technik Bauwesen
Technik Elektrotechnik / Energietechnik
Schlagworte AAL system • Ambient Assisted Living systems • Healthcare Technologies • Interference mitigation • internet of things • Smart Home Monitoring • Wireless Sensing • wireless sensor networks
ISBN-10 3-319-52048-2 / 3319520482
ISBN-13 978-3-319-52048-3 / 9783319520483
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