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E-raamat: Body Area Networks: Safety, Security, and Sustainability

(Worcester Polytechnic Institute, Massachusetts), , (Arizona State University)
  • Formaat: EPUB+DRM
  • Ilmumisaeg: 18-Apr-2013
  • Kirjastus: Cambridge University Press
  • Keel: eng
  • ISBN-13: 9781107357532
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Body Area Networks: Safety, Security, and SustainabilitySuurem pilt
  • Formaat: EPUB+DRM
  • Ilmumisaeg: 18-Apr-2013
  • Kirjastus: Cambridge University Press
  • Keel: eng
  • ISBN-13: 9781107357532
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Body area networks (BANs) are networks of wireless sensors and medical devices embedded in clothing, worn on or implanted in the body, and have the potential to revolutionize healthcare by enabling pervasive healthcare. However, due to their critical applications affecting human health, challenges arise when designing them to ensure they are safe for the user, sustainable without requiring frequent battery replacements and secure from interference and malicious attacks. This book lays the foundations of how BANs can be redesigned from a cyber-physical systems perspective (CPS) to overcome these issues. Introducing cutting-edge theoretical and practical techniques and taking into account the unique environment-coupled characteristics of BANs, the book examines how we can re-imagine the design of safe, secure and sustainable BANs. It features real-world case studies, suggestions for further investigation and project ideas, making it invaluable for anyone involved in pervasive and mobile healthcare, telemedicine, medical apps and other cyber-physical systems.

Muu info

Explores issues involved in designing safe, secure and sustainable BANs from a cyber-physical systems perspective, for researchers and graduate students.
Foreword xi
Celeste R. Fralick
Preface xv
Acknowledgments xvii
1 Introduction
1(8)
1.1 Pervasive healthcare
2(2)
1.2 Monitoring technologies
4(3)
1.3 Overview of the book
7(1)
1.4 Questions
8(1)
2 Body area networks
9(17)
2.1 Architecture
10(6)
2.1.1 Hardware
10(1)
2.1.2 Network topology
11(1)
2.1.3 Communication technology
12(3)
2.1.4 Software
15(1)
2.1.5 Deployment
15(1)
2.1.6 The physical environment
15(1)
2.1.7 Energy source
15(1)
2.2 Applications
16(6)
2.2.1 Physiological monitoring
16(4)
2.2.2 The infusion-pump control system
20(2)
2.3 Middleware for a BAN-based pervasive health-monitoring system
22(3)
2.4 Questions
25(1)
3 BAN models and requirements
26(10)
3.1 Principal requirements
27(3)
3.1.1 Safety
27(1)
3.1.2 Security
28(1)
3.1.3 Sustainability
29(1)
3.2 The cyber-physical nature of BANs
30(3)
3.3 Regulatory issues
33(3)
3.3.1 Medical-device regulation in the USA
33(2)
3.3.2 Medical-device regulation in the EU
35(1)
3.3.3 Medical-device regulation in Asia
35(1)
4 Safety
36(27)
4.1 Safety approaches
37(3)
4.1.1 Perspectives of BAN safety
37(2)
4.1.2 Ensuring BAN safety
39(1)
4.2 Model-based engineering of BANs
40(2)
4.2.1 Safety-requirements analysis
41(1)
4.2.2 Model generation
41(1)
4.2.3 Analysis of safety
42(1)
4.3 Modeling cyber-physical systems
42(2)
4.4 Example: BAND-AiDe - BAN Design and Analysis Tool
44(9)
4.4.1 The BAND-AiDe modeling framework
44(5)
4.4.2 The BAND-AiDe analyzer
49(1)
4.4.3 Implementation
50(3)
4.5 Demonstrating design and analysis with BAND-AiDe
53(7)
4.5.1 Safety verification of a single wearable medical device
56(2)
4.5.2 Safety verification of a network of devices
58(2)
4.6 Formal models for BAN safety
60(1)
4.7 Future research problems
61(1)
4.8 Questions
62(1)
5 Security
63(21)
5.1 The need for information security in BANs
64(1)
5.2 Securing a BAN as a cyber-physical system
65(3)
5.2.1 Securing BAN components
66(1)
5.2.2 Challenges for CPS-Sec solutions
66(1)
5.2.3 CPS-Sec solutions for BANs
67(1)
5.3 Traditional security solutions for BANs
68(2)
5.3.1 Application of traditional approaches to key distribution
68(2)
5.4 Physiological-signal-based key agreement (PSKA)
70(12)
5.4.1 Physiological signals: issues and properties
71(2)
5.4.2 PSKA protocol execution
73(3)
5.4.3 Security of PSKA
76(2)
5.4.4 PSKA prototype implementation
78(4)
5.5 Summary and future research problems
82(1)
5.6 Questions
83(1)
6 Sustainability
84(20)
6.1 The energy perspective
84(3)
6.1.1 Energy storage
85(1)
6.1.2 Reducing the energy requirement
86(1)
6.1.3 Scavenging energy from different sources
87(1)
6.2 The equipment-recycling perspective
87(1)
6.3 Ensuring sustainability
87(2)
6.4 Sustainable BAN software-design methodology
89(3)
6.4.1 The physical plane
90(1)
6.4.2 BAN application
91(1)
6.4.3 The management plane
92(1)
6.5 Power profiling
92(1)
6.6 Architectural modeling
93(2)
6.7 Analysis and design for sustainability
95(7)
6.7.1 Sustainability analysis
98(2)
6.7.2 Case-study design
100(2)
6.8 Future research problems
102(1)
6.9 Questions
103(1)
7 Implementation of BANs
104(15)
7.1 Implementation
104(3)
7.1.1 The computation model of a sensor node
105(1)
7.1.2 The computation model of a base station
106(1)
7.2 Programming paradigms
107(1)
7.2.1 Programming a sensor
107(1)
7.2.2 Programming a base station
108(1)
7.3 Common implementation issues
108(5)
7.3.1 Avoid floating-point operations
109(2)
7.3.2 Variable reuse and concurrency conflicts
111(1)
7.3.3 Storage management
112(1)
7.3.4 Distinction between tasks and event handlers
112(1)
7.3.5 Real-time considerations
112(1)
7.3.6 Debugging strategies
113(1)
7.4 Diverse sensor platforms
113(1)
7.5 Choosing the best platform
114(1)
7.6 Automatic code generation
115(2)
7.7 Data repositories
117(1)
7.8 Questions
117(2)
8 Epilogue
119(2)
Glossary 121(6)
Appendix: Publication venues, academic research groups, and funding agencies 127(1)
References 128(10)
Index 138
Sandeep Kumar Shrinath Gupta is Professor, Founding Chair of the Computer Engineering Graduate Program and Director of the IMPACT Lab, School of Computing, Informatics, and Decision Systems Engineering (SCIDSE), Arizona State University, USA. Tridib Mukherjee is a Research Scientist at Xerox Research Center, Bangalore, India. Krishna Kumar Venkatasubramanian is an Assistant Professor with the Department of Computer Science, Worcester Polytechnic Institute, USA.
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