| Description |
1 online resource (xviii, 224 pages) |
| Series |
River Publishers series in communications |
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River Publishers series in communications.
|
| Contents |
Front Cover; Half Title Page; RIVER PUBLISHERS SERIES IN COMMUNICATIONS; Title Page -- Adaptive Middleware for the Internet of Things -- The GAMBAS Approach; Copyright Page; Contents; Preface; List of Figures; List of Abbreviations; Chapter 1 -- Introduction; 1.1 Motivation; 1.2 GAMBAS Objectives; 1.3 Application Scenarios; 1.3.1 Mobility Scenario; 1.3.2 Environmental Scenario; 1.4 Overarching Vision; 1.4.1 Smart Cities; 1.4.2 Characteristics; 1.5 State of the Art; 1.5.1 Hardware Technologies; 1.5.1.1 Devices; 1.5.1.2 Communication; 1.5.1.3 Sensing; 1.5.1.4 Classification |
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1.5.2 Communication Middleware1.5.3 Context Management; 1.5.4 Sensing Applications; 1.6 Innovations; Chapter 2 -- Architecture; 2.1 Static Perspective; 2.1.1 Operational View; 2.1.2 Component View; 2.1.3 Data View; 2.1.3.1 Data Access; 2.1.3.2 Data Representation; 2.1.3.3 Data Dynamics; 2.2 Dynamic Perspective; 2.2.1 Acquisition View; 2.2.1.1 Personal Data Acquisition; 2.2.1.2 Collaborative Data Acquisition; 2.2.2 Processing View; 2.2.2.1 Processing of Public Data; 2.2.2.2 Processing of Shared Data; 2.2.3 Inference View; 2.2.3.1 Local Inferences; 2.2.3.2 Distributed Inferences |
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2.3 Interface Perspective2.3.1 Storage Interfaces; 2.3.2 Query Interfaces; 2.3.3 Privacy Interfaces; 2.3.4 Control Interfaces; Chapter 3 -- Data Acquisition; 3.1 Focus and Contribution; 3.1.1 Data Acquisition Frameworks; 3.1.2 Rapid Prototyping Tools; 3.1.3 Application-Specific Acquisition; 3.1.4 Contribution; 3.2 Data Acquisition Framework; 3.2.1 Component System; 3.2.1.1 Component Model; 3.2.1.1.1 Components; 3.2.1.1.2 Parameters; 3.2.1.1.3 Ports; 3.2.1.1.4 Connectors; 3.2.1.1.5 Configurations; 3.2.1.2 Runtime System; 3.2.1.2.1 System Structure; 3.2.1.2.2 Configuration Execution |
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3.2.1.2.3 Platform Support3.2.1.3 Tool Support; 3.2.2 Activation System; 3.2.2.1 Activation Model; 3.2.2.1.1 States; 3.2.2.1.2 Transitions; 3.2.2.2 Runtime System; 3.2.2.2.1 System Structure; 3.2.2.2.2 Configuration Mapping; 3.2.2.2.3 Platform Support; 3.2.2.2.4 Tool Support; 3.3 Data Acquisition Components; 3.3.1 Context Recognition; 3.3.1.1 Location Recognition; 3.3.1.2 Trip Recognition; 3.3.1.3 Sound Recognition; 3.3.1.3.1 Noise Recognition; 3.3.1.3.2 Voice Tagging; 3.3.1.3.3 Voice Control; 3.3.2 Intent Recognition; 3.3.2.1 Duration Prediction; 3.3.2.2 Destination Prediction |
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3.3.2.3 Prediction AlgorithmChapter 4 -- Data Processing; 4.1 Focus and Contribution; 4.1.1 Data Representation; 4.1.2 Query Processing; 4.1.3 Contribution; 4.2 Data Model; 4.2.1 Data Definition; 4.2.1.1 User Class; 4.2.1.2 Place Class; 4.2.1.3 Activity Class; 4.2.1.4 Journey Class; 4.2.1.5 TravelMode Class; 4.2.1.6 Bus Class; 4.2.1.7 Jogging Class; 4.2.1.8 Shopping Class; 4.2.2 Query Specification; 4.2.2.1 Queries on Users; 4.2.2.2 Queries on Buses; 4.3 Data Discovery; 4.3.1 Architecture; 4.3.2 Metadata Management; 4.3.2.1 Publishing Metadata; 4.3.3 Querying Data Sources |
| Summary |
Over the past years, a considerable amount of effort has been devoted, both in industry and academia, towards the development of basic technology as well as innovative applications for the Internet of Things. Adaptive Middleware for the Internet of Things introduces a scalable, interoperable and privacy-preserving approach to realize IoT applications and discusses abstractions and mechanisms at the middleware level that simplify the realization of services that can adapt autonomously to the behavior of their users. Technical topics discussed in the book include:Behavior-driven Autonomous ServicesGAMBAS Middleware ArchitectureGeneric and Efficient Data AcquisitionInteroperable and Scalable Data ProcessingAutomated Privacy PreservationAdaptive Middleware for the Internet of Things summarizes the results of the GAMBAS research project funded by the European Commission under Framework Programme 7. It provides an in-depth description of the middleware system developed by the project consortium. In addition, the book describes several innovative mobility and monitoring applications that have been built, deployed and operated to evaluate the middleware under realistic conditions with a large number of users. Adaptive Middleware for the Internet of Things is ideal for personnel in the computer and communication industries as well as academic staff and research students in computer science interested in the development of systems and applications for the Internet of Things |
| Bibliography |
Includes bibliographical references and index |
| Notes |
4.3.4 Security and Privacy |
|
Marcus Handte, Pedro José Marrón, Gregor Schiele, Matoses Manuel Serrano |
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Online resource; title from digital title page (viewed on April 16, 2019) |
| Subject |
Internet of things.
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Middleware.
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SCIENCE -- Energy.
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Internet of things
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Middleware
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| Form |
Electronic book
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| Author |
Marrón, Pedro J., author.
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Schiele, Gregor, author
|
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Matoses, Manuel Serrano, author
|
| ISBN |
879351977X |
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9788793519770 |
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9781003336952 |
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1003336957 |
|
9781000794915 |
|
1000794911 |
|
9781000791815 |
|
1000791815 |
|
