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This book focuses on ambient intelligence and addresses various issues related to data management, networking and HCI in this context. Taking a holistic view, it covers various levels of abstraction, ranging from fundamental to advanced concepts and brings together the contributions of various specialists in the field.
Moreover, the book covers the key areas of computer science concerned with the emergence of ambient intelligence (e.g. interaction, middleware, networks, information systems, etc.). It even goes slightly beyond the borders of computer science with contributions related to smart materials and ethics. The authors cover a broad spectrum, with some chapters dedicated to the presentation of basic concepts and others focusing on emerging applications in various fields such as health, transport and tourism.
Autorentext
Gaelle Calvary is Professor in Computer Science at the Ensimag software engineering school of the Grenoble Institute of Technology, Grenoble, France. Thierry Delot is Associate professor, University of Valenciennes, France. Florence Sèdes is Professor, Université Paul Sabatier, Toulouse, France. Jean-Yves Tigli is Associate professor, University of Nice Sophia Antipolis - France.
Inhalt
Preface xiii
Chapter 1. Ambient Intelligence: Science or Fad? 1
Joëlle COUTAZ and James L. CROWLEY
1.1. Ambient intelligence: still young at 20 years 1
1.2. A step forward in the evolution of informatics 3
1.2.1. Fifty years ago: the computer as an isolated critical resource 3
1.2.2. Thirty years ago: the user at the center of design 5
1.2.3. The past decade: combining physical, social, and digital worlds 7
1.3. Extreme challenges 10
1.3.1. Multi-scale 10
1.3.2. Heterogeneity 10
1.3.3. Dynamic adaptation 11
1.4. Conclusion 11
1.5. Bibliography 12
Chapter 2. Thinking about Ethics 15
Anne-Marie BENOIT
2.1. Ethics and fundamental rights 16
2.2. Ethics and values 18
2.3. Ethics and future perspectives 20
2.4. Bibliography 20
Chapter 3. Sensor Networks 21
Jean CARLE, Michaël HAUSPIE, Nathalie MITTON, Tahiry RAZAFINDRALAMBO and David SIMPLOT-RYL
3.1. MAC layers for wireless sensor networks 21
3.1.1. Challenges atMAClevel 21
3.1.2. Energy consumption 22
3.1.3. Parameters for evaluating a MAClayer 23
3.1.4. MAC Protocols 23
3.2. Topology control 24
3.2.1. Range adjustment 25
3.2.2. Spanning 27
3.3. Routing 33
3.3.1. Broadcast 33
3.3.2. Classic routing 36
3.3.3. Geographic routing 40
3.4. Deployment of sensor networks 42
3.4.1. Knowing the hardware 43
3.4.2. Development process 45
3.4.3. Ensuring stability 45
3.4.4. Preparing for deployment 46
3.5. Bibliography 47
Chapter 4. Smart Systems, Ambient Intelligence and Energy Sources: Current Developments and Future Applications 55
Georges AKHRAS and Florence SÈDES
4.1. Introduction 55
4.2. Did you say smart systems? 56
4.2.1. Smart materials 58
4.2.2. Sensors and actuators 59
4.2.3. Command and control unit 59
4.2.4. Managing data and security 59
4.3. Energy harvesting 60
4.3.1. Initial applications 60
4.3.2. Second generation 62
4.3.3. Managing systems, processes and energy 62
4.4. Wearable computers and smart fibers 63
4.5. Other applications 64
4.6. Conclusion 66
4.7. Bibliography 68
Chapter 5. Middleware in Ubiquitous Computing 71
Vincent HOURDIN, Nicolas FERRY, Jean-Yves TIGLI, Stéphane LAVIROTTE and Gaëtan REY
5.1. Middleware 71
5.2. Development of middleware with new computer environments 71
5.2.1. Distribution 72
5.2.2. Mobility 73
5.2.3. Context awareness and adaptation 74
5.2.4. Ubiquitous computing 74
5.3. Main properties of middleware in ubiquitous computing 75
5.3.1. Heterogeneity and interoperability 76
5.3.2. Scalability 77
5.3.3. Mobility 77
5.3.4. Variability, unpredictability, extensibility and spontaneous interactions 78
5.3.5. Dynamic adaptation 80
5.3.6. Context awareness 81
5.3.7. Security 82
5.3.8. Adapted and controlled response times 83
5.4. Bibliography 84
Chapter 6. WComp, Middleware for Ubiquitous Computing and System Focused Adaptation 89
Nicolas FERRY, Vincent HOURDIN, Stéphane LAVIROTTE, Gaëtan REY and Jean-Yves TIGLI
6.1. Service infrastructure in devices 89
6.1.1. Interoperability 92
6.1.2. Event communication 93
6.1.3. Appearance and disappearance 94
6.1.4. Decentralized dynamic discovery 95
6.1.5. WSOAD 96
6.2. Dynamic service composition 97
6.2.1. Composition of services for devices: LCA 98
6.2.2. Distributed composition: SLCA 100
6.3. Dynamic adaptation of applications to variations in their infrastructure 104
6.3.1. The principles of AOPs 105
6.3.2. Transverse adaptation 107
6.3.3. Summary 117 6.4. Bi...