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E-raamat: Enablers for Smart Cities

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  • Formaat: PDF+DRM
  • Ilmumisaeg: 14-Jul-2016
  • Kirjastus: ISTE Ltd and John Wiley & Sons Inc
  • Keel: eng
  • ISBN-13: 9781119329985
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Enablers for Smart CitiesSuurem pilt
  • Formaat: PDF+DRM
  • Ilmumisaeg: 14-Jul-2016
  • Kirjastus: ISTE Ltd and John Wiley & Sons Inc
  • Keel: eng
  • ISBN-13: 9781119329985
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This book is about the development of technologies to build smart cities. It is based on a deep experience in the domains of artificial intelligence, distributed and cloud computing as well as sensor networks.

The concept of “smart cities” emerged a few years ago to relate how human and social capital enforced by  modern ICT infrastructure and e-services fuel sustainable growth and quality of life, enabled by a wise management of natural resources and through participative government. The need to build “smart cities” became a requirement that relies on urban development that should take in charge the new infrastructures for smart cities (broadband infrastructures, wireless sensor networks, Internet-based networked applications, open data and open platforms) and provide various smart services and enablers in various domains including healthcare, energy, education, environmental management, transportation and mobility, public safety.

Preface xi
Amal El Fallah Seghrouchni
Fuyuki Ishikawa
Kenji Tei
Introduction xvii
Aural El Fallah Seghrouchni
Fuyuki Ishikawa
Kenji Tei
Chapter 1 Shared Wireless Sensor Networks as Enablers for a Context Management System in Smart Cities 1(22)
Kenji Tei
1.1 Introduction
1(2)
1.2 Background
3(2)
1.3 XAC middleware
5(2)
1.3.1 Architecture of XAC middleware
6(1)
1.4 Task-description language
7(5)
1.4.1 Existing solutions
8(2)
1.4.2 XAC middleware solutions
10(2)
1.5 Runtime task management
12(4)
1.5.1 Existing solutions
12(2)
1.5.2 XAC middleware solutions
14(2)
1.6 Self-adaptation
16(2)
1.6.1 Existing solutions
17(1)
1.6.2 XAC middleware solutions
17(1)
1.7 Discussion
18(1)
1.8 Conclusion
19(1)
1.9 Bibliography
19(4)
Chapter 2 Sensorizer: An Architecture for Regenerating Cyber-physical Data Streams from the Web 23(10)
Jin Nakazawa
2.1 Introduction
23(2)
2.2 Sensorizer architecture
25(2)
2.2.1 Sensing process of EWC
25(1)
2.2.2 Sensorizer architecture
25(2)
2.3 Implementation
27(2)
2.3.1 Sensorizer browser extension
27(1)
2.3.2 Probe
28(1)
2.3.3 Sensorizer/SoX API
29(1)
2.4 Case of sensorized smart cities
29(3)
2.5 Conclusion
32(1)
2.6 Bibliography
32(1)
Chapter 3 Smart Agent Foundations: From Planning to Spatio-temporal Guidance 33(32)
Ahmed-Chawki Chaouche
Amal El Fallah Seghrouchni
Jean-Michel Ha
Djamel Eddine Satdouni
3.1 Introduction
33(2)
3.2 Smart-campus: use case and scenario
35(2)
3.2.1 Smart-campus architecture
36(1)
3.2.2 Scenario
37(1)
3.3 Description of the software architecture for a smart ambient agent
37(1)
3.4 Higher order agent model
38(2)
3.4.1 Application to the scenario
39(1)
3.5 Description of the concurrent planner based on AgLOTOS language
40(5)
3.5.1 Agent plan structure
40(2)
3.5.2 Syntax of AgLOTOS plans
42(2)
3.5.3 Building of the agent plan from the intentions
44(1)
3.5.4 Planning state of the agent
45(1)
3.6 Contextual planning guidance
45(7)
3.6.1 Semantics of AgLOTOS plans
46(2)
3.6.2 Contextual planning system
48(2)
3.6.3 Application to the scenario
50(2)
3.7 Spatio-temporal guidance from past experiences
52(9)
3.7.1 Contextual planning architecture
52(1)
3.7.2 Learning actions from past experiences
53(5)
3.7.3 Spatio-temporal guidance
58(3)
3.8 Conclusion
61(1)
3.9 Bibliography
62(3)
Chapter 4 A Multi-Agent Middleware for Deployment of Ambient Applications 65(42)
Ferdinand Pietie
Amal El Fallah Seghrouchni
Patrick Taillibert
Costin Caval
Cedric Dinont
4.1 Introduction
65(2)
4.2 Challenges for ambient intelligence and Internet of Things
67(6)
4.2.1 Toward the heterogeneity of hardware and protocols
67(2)
4.2.2 Data transport and processing
69(2)
4.2.3 Management of data privacy
71(2)
4.3 Deployment of applications for ambient systems
73(13)
4.3.1 Reasoning about heterogeneity
73(1)
4.3.2 Graph modeling
74(2)
4.3.3 Mathematical formalization of the deployment process
76(5)
4.3.4 Modified graph-matching algorithm
81(4)
4.3.5 Conclusion
85(1)
4.4 Multi-agent middleware for ambient systems
86(16)
4.4.1 Scenario
87(1)
4.4.2 Multi-agent modeling
88(4)
4.4.3 Distributed reasoning
92(4)
4.4.4 Design and implementation
96(6)
4.5 Conclusion
102(1)
4.6 Bibliography
103(4)
Chapter 5 ClouT: Cloud of Things for Empowering Citizen's Clout in Smart Cities 107(20)
Kenji Tei
Levent Gureen
Takuro Yonezawa
5.1 Objective of the ClouT project
107(2)
5.2 Goal of the ClouT project
109(1)
5.3 ClouT concept
110(8)
5.3.1 CIaaS concept
112(3)
5.3.2 CPaaS concept
115(2)
5.3.3 CSaaS concept
117(1)
5.4 ClouT reference architecture
118(4)
5.4.1 CIaaS components
118(2)
5.4.2 CPaaS components
120(1)
5.4.3 Security and Dependability components
121(1)
5.5 Mapping the architecture
122(3)
5.6 Conclusion
125(1)
5.7 Bibliography
126(1)
Chapter 6 sensiNact loT Platform as a Service 127(22)
Levent Gorgen
Christophe Munilla
Remi Druilhe
Etienne Gandrille
Jander Botelho Do Nascimento
6.1 Introduction
128(2)
6.2 State of the art
130(3)
6.2.1 IoT solutions architectures
130(1)
6.2.2 Existing IoT platforms
131(2)
6.3 Architecture and data model
133(5)
6.4 Platform security management
138(2)
6.5 The sensiNact studio
140(6)
6.5.1 Graphical user interface
141(2)
6.5.2 Creating applications
143(1)
6.5.3 Application deployment
144(2)
6.6 Conclusion
146(1)
6.7 Bibliography
146(3)
Chapter 7 Verification and Configuration of Smart Space Applications 149(20)
Fuyuki Ishikawa
Shinichi Bowden
7.1 Introduction
149(1)
7.2 Conflicts in smart space applications
150(4)
7.2.1 Event-driven control of smart spaces
150(1)
7.2.2 Description of event-driven behavior
151(1)
7.2.3 Conflicts in event-driven control
151(2)
7.2.4 Application of model checking techniques
153(1)
7.3 Framework for verifying and configuring smart space applications
154(7)
7.3.1 Overview
154(1)
7.3.2 Semantic model
155(3)
7.3.3 Definition of state transition model
158(1)
7.3.4 Properties to verify
159(1)
7.3.5 Implementation
160(1)
7.3.6 Model checker implementation
161(1)
7.4 Case study
161(3)
7.4.1 Scenario and initial specification
161(1)
7.4.2 Analyzing sound conflicts
162(2)
7.4.3 Further scenarios
164(1)
7.5 Related work
164(1)
7.6 Concluding remarks
165(1)
7.7 Acknowledgments
166(1)
7.8 Bibliography
166(3)
Chapter 8 SmartSantander: A Massive Self-Managed, Scalable and Interconnected loT Deployment 169(18)
Jose Antonio Galache
Juan Ramon Santana
Luis Munoz
8.1 Introduction
169(1)
8.2 SmartSantander: novel architecture for service provision and experimentation
170(3)
8.3 SmartSantander deployment: use cases
173(2)
8.4 SmartSantander interacting with ClouT
175(9)
8.4.1 IoT device naming
176(1)
8.4.2 IoT device description
177(4)
8.4.3 loT resource manager
181(1)
8.4.4 Virtualization module
182(2)
8.5 Conclusions
184(1)
8.6 Bibliography
185(2)
Chapter 9 Using Context-aware Multi-agent Systems for Robust Smart City Infrastructure 187(20)
Andrei Olaru
Adina Magda Florea
Amal El Fallah Seghrouchni
9.1 Introduction
187(2)
9.1.1 Smart cities and ambient intelligence
188(1)
9.2 Requirements
189(4)
9.2.1 Information at the right time
191(1)
9.2.2 Robustness, reliability, dependability and trust
192(1)
9.2.3 Privacy and personal information
192(1)
9.3 Solutions for managing context information
193(3)
9.3.1 Related work and projects
193(2)
9.3.2 A local solution for a global result
195(1)
9.4 MAS-based application-independent middleware
196(8)
9.4.1 Architecture
198(5)
9.4.2 Generality of the design
203(1)
9.4.3 Resilience in case of failures
203(1)
9.5 Conclusion
204(1)
9.6 Bibliography
204(3)
Chapter 10 City of Santander 207(14)
Sonia Sotero Muniz
Jose Antonio Teixeira Vitienes
10.1 Introduction
207(3)
10.2 ClouT project
210(10)
10.2.1 Participatory sensing for city management
211(4)
10.2.2 Traffic mobility management
215(4)
10.2.3 Conclusions
219(1)
10.3 Bibliography
220(1)
Chapter 11 Fujisawa, Towards a Sustainable Smart City 221(18)
Takuro Yonezawa
11.1 Introduction
221(4)
11.1.1 Sensorized garbage trucks
222(1)
11.1.2 Enoshima Info Surfboard
223(1)
11.1.3 Smile Coupon
224(1)
11.2 Architecture and application domains
225(11)
11.2.1 Architecture with ClouT components
225(1)
11.2.2 Components for implementation
226(1)
11.2.3 Interaction among components
227(1)
11.2.4 Development scenario
228(1)
11.2.5 Design and implementation
229(7)
11.3 Results
236(1)
11.4 Conclusion
237(1)
11.5 Bibliography
237(2)
List of Authors 239(2)
Index 241
Amal El Fallah Seghrouchni is Full Professor at the University of Pierre and Marie Curie, Paris, France where she heads the MAS team at LIP6 (Laboratory of Informatics of Paris 6).

Fuyuki Ishikawa is Associate Professor at the National Institute of Informatics (NII), Tokyo, Japan.

Laurent Hérault holds a PhD degree in computer science from INPG. Since 2011 he is VP, Director of the Europe division at CEA-LETI and is a CEA fellow since 2014.

Hideyuki Tokuda is Professor at the Faculty of Environment and Information Studies and Director of the Ubiquitous Computing and Communication Laboratory at Keio University, Japan.
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