Enablers for Smart Cities

Inbunden, Engelska, 2016

Av Amal El Fallah Seghrouchni, Fuyuki Ishikawa, Laurent Hérault, Hideyuki Tokuda, France) Seghrouchni, Amal El Fallah (University of Pierre and Marie Curie, Paris, Japan) Ishikawa, Fuyuki (National Institute of Informatics (NII), Tokyo, Laurent (CEA-LETI) Herault, Japan) Tokuda, Hideyuki (Keio University

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Smart cities are a new vision for urban development. They integrate information and communication technology infrastructures – in the domains of artificial intelligence, distributed and cloud computing, and sensor networks – into a city, to facilitate quality of life for its citizens and sustainable growth. This book explores various concepts for the development of these new technologies (including agent-oriented programming, broadband infrastructures, wireless sensor networks, Internet-based networked applications, open data and open platforms), and how they can provide smart services and enablers in a range of public domains.The most significant research, both established and emerging, is brought together to enable academics and practitioners to investigate the possibilities of smart cities, and to generate the knowledge and solutions required to develop and maintain them.

Produktinformation

Utgivningsdatum2016-07-15
Mått165 x 241 x 18 mm
Vikt549 g
FormatInbunden
SpråkEngelska
Antal sidor268
FörlagISTE Ltd and John Wiley & Sons Inc
ISBN9781848219588

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Elektronik och kommunikationer inom Naturvetenskap och teknik

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.

Preface xiAmal EL FALLAH SEGHROUCHNI, Fuyuki ISHIKAWA and Kenji TEIIntroduction xviiAmal EL FALLAH SEGHROUCHNI, Fuyuki ISHIKAWA and Kenji TEIChapter 1. Shared Wireless Sensor Networks as Enablers for a Context Management System in Smart Cities 1Kenji TEI1.1. Introduction 11.2. Background 31.3. XAC middleware 51.3.1. Architecture of XAC middleware 61.4. Task-description language 71.4.1. Existing solutions 81.4.2. XAC middleware solutions 101.5. Runtime task management 121.5.1. Existing solutions 121.5.2. XAC middleware solutions 141.6. Self-adaptation 161.6.1. Existing solutions 171.6.2. XAC middleware solutions 171.7. Discussion 181.8. Conclusion 191.9 Bibliography 19Chapter 2. Sensorizer: An Architecture for Regenerating Cyber-physical Data Streams from the Web 23Jin NAKAZAWA2.1. Introduction 232.2. Sensorizer architecture 252.2.1. Sensing process of EWC 252.2.2. Sensorizer architecture 252.3. Implementation 272.3.1. Sensorizer browser extension 272.3.2. Probe 282.3.3. Sensorizer/SoX API 292.4. Case of sensorized smart cities 292.5. Conclusion 322.6. Bibliography 32Chapter 3. Smart Agent Foundations: From Planning to Spatio-temporal Guidance 33Ahmed-Chawki CHAOUCHE, Amal EL FALLAH SEGHROUCHNI, Jean-Michel ILIÉ and Djamel Eddine SAÏDOUNI3.1. Introduction 333.2. Smart-campus: use case and scenario 353.2.1. Smart-campus architecture 363.2.2. Scenario 373.3. Description of the software architecture for a smart ambient agent 373.4. Higher order agent model 383.4.1. Application to the scenario 393.5. Description of the concurrent planner based on AgLOTOS language 403.5.1. Agent plan structure 403.5.2. Syntax of AgLOTOS plans 423.5.3. Building of the agent plan from the intentions 443.5.4. Planning state of the agent 453.6. Contextual planning guidance 453.6.1. Semantics of AgLOTOS plans 463.6.2. Contextual planning system 483.6.3. Application to the scenario 503.7. Spatio-temporal guidance from past experiences 523.7.1. Contextual planning architecture 523.7.2. Learning actions from past experiences 533.7.3. Spatio-temporal guidance 583.8. Conclusion 613.9. Bibliography 62Chapter 4. A Multi-Agent Middleware for Deployment of Ambient Applications 65Ferdinand PIETTE, Amal EL FALLAH SEGHROUCHNI, Patrick TAILLIBERT, Costin CAVAL and CÉDRIC DINONT4.1. Introduction 654.2. Challenges for ambient intelligence and Internet of Things 674.2.1. Toward the heterogeneity of hardware and protocols 674.2.2. Data transport and processing 694.2.3. Management of data privacy 714.3. Deployment of applications for ambient systems 734.3.1. Reasoning about heterogeneity 734.3.2. Graph modeling 744.3.3. Mathematical formalization of the deployment process 764.3.4. Modified graph-matching algorithm 814.3.5. Conclusion 854.4. Multi-agent middleware for ambient systems 864.4.1. Scenario 874.4.2. Multi-agent modeling 884.4.3. Distributed reasoning 924.4.4. Design and implementation 964.5. Conclusion 1024.6. Bibliography 103Chapter 5. ClouT: Cloud of Things for Empowering Citizen’s Clout in Smart Cities 107Kenji TEI, Levent GÜREEN and TAKURO YONEZAWA5.1. Objective of the ClouT project 1075.2. Goal of the ClouT project 1095.3. ClouT concept 1105.3.1. CIaaS concept 1125.3.2. CPaaS concept 1155.3.3. CSaaS concept 1175.4. ClouT reference architecture 1185.4.1. CIaaS components 1185.4.2. CPaaS components 1205.4.3. Security and Dependability components 1215.5. Mapping the architecture 1225.6. Conclusion 1255.7. Bibliography 126Chapter 6. sensiNact IoT Platform as a Service 127Levent GÜRGEN, Christophe MUNILLA, Rémi DRUILHE, Etienne GANDRILLE and Jander BOTELHO DO NASCIMENTO6.1. Introduction 1286.2. State of the art 1306.2.1. IoT solutions architectures 1306.2.2. Existing IoT platforms 1316.3. Architecture and data model 1336.4. Platform security management 1386.5. The sensiNact studio 1406.5.1. Graphical user interface 1416.5.2. Creating applications 1436.5.3. Application deployment 1446.6. Conclusion 1466.7. Bibliography 146Chapter 7. Verification and Configuration of Smart Space Applications 149Fuyuki ISHIKAWA and Shinichi HONIDEN7.1. Introduction 1497.2. Conflicts in smart space applications 1507.2.1. Event-driven control of smart spaces 1507.2.2. Description of event-driven behavior 1517.2.3. Conflicts in event-driven control 1517.2.4. Application of model checking techniques 1537.3. Framework for verifying and configuring smart space applications 1547.3.1. Overview 1547.3.2. Semantic model 1557.3.3. Definition of state transition model 1587.3.4. Properties to verify 1597.3.5. Implementation 1607.3.6. Model checker implementation 1617.4. Case study 1617.4.1. Scenario and initial specification 1617.4.2. Analyzing sound conflicts 1627.4.3. Further scenarios 1647.5. Related work 1647.6. Concluding remarks 1657.7. Acknowledgments 1667.8. Bibliography 166Chapter 8. SmartSantander: A Massive Self-Managed, Scalable and Interconnected IoT Deployment 169José Antonio GALACHE, Juan Ramón SANTANA and Luis MUÑOZ8.1. Introduction 1698.2. SmartSantander: novel architecture for service provision and experimentation 1708.3. SmartSantander deployment: use cases 1738.4. SmartSantander interacting with ClouT 1758.4.1. IoT device naming 1768.4.2. IoT device description 1778.4.3. IoT resource manager 1818.4.4. Virtualization module 1828.5. Conclusions 1848.6. Bibliography 185Chapter 9. Using Context-aware Multi-agent Systems for Robust Smart City Infrastructure 187Andrei OLARU, Adina Magda FLOREA and Amal EL FALLAH SEGHROUCHNI9.1. Introduction 1879.1.1. Smart cities and ambient intelligence 1889.2. Requirements 1899.2.1. Information at the right time 1919.2.2. Robustness, reliability, dependability and trust 1929.2.3. Privacy and personal information 1929.3. Solutions for managing context information 1939.3.1. Related work and projects 1939.3.2. A local solution for a global result 1959.4. MAS-based application-independent middleware 1969.4.1. Architecture 1989.4.2. Generality of the design 2039.4.3. Resilience in case of failures 2039.5. Conclusion 2049.6. Bibliography 204Chapter 10. City of Santander 207Sonia SOTERO MUÑIZ and José Antonio TEIXEIRA VITIENES10.1. Introduction 20710.2. ClouT project 21010.2.1. Participatory sensing for city management 21110.2.2. Traffic mobility management 21510.2.3. Conclusions 21910.3. Bibliography 220Chapter 11. Fujisawa, Towards a Sustainable Smart City 221Takuro YONEZAWA11.1. Introduction 22111.1.1. Sensorized garbage trucks 22211.1.2. Enoshima Info Surfboard 22311.1.3. Smile Coupon 22411.2. Architecture and application domains 22511.2.1. Architecture with ClouT components 22511.2.2. Components for implementation 22611.2.3. Interaction among components 22711.2.4. Development scenario 22811.2.5. Design and implementation 22911.3. Results 23611.4. Conclusion 23711.5. Bibliography 237List of Authors 239Index 241