book

Pervasive Computing

by Minyi Guo, Jingyu Zhou, Feilong Tang, Yao Shen

August 2016

Intermediate to advanced

206 pages

6h 1m

English

CRC Press

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1.1 Perspectives of Pervasive Computing1.1.1 Technology Trend Overview1.1.2 Pervasive Computing: Concepts1.2 Challenges1.3 Technology1.3.1 Middleware1.3.2 Context Awareness1.3.3 Resource Management1.3.4 Human–Computer Interaction1.3.5 Pervasive Transaction Processing1.3.6 User Preference and RecommendationsReferences
2.1 Infrastructure and Devices2.1.1 Wireless Networks2.2 Middleware for Pervasive Computing Systems2.2.1 Resource Management2.2.2 User Tracking2.2.3 Context Management2.2.4 Service Management2.2.5 Data Management2.2.6 Security Management2.3 Pervasive Computing Environments2.3.1 Smart Car Space2.3.2 Intelligent CampusFurther ReadingsReferences
3.1 Context Collection and Wireless Sensor Networks3.1.1 Context Category3.1.2 Context Collection Framework3.2 User Tracking3.2.1 Position Identification3.2.2 Mobile Robot Position Identification3.2.3 Intelligent Urban Traffic Management3.3 Context Reasoning3.3.1 Evidence Theory3.3.2 DSCR Model3.3.3 Propagating Evidence in the Sensors Layer3.3.4 Propagating Evidence in the Objects Layer3.3.5 Recognizing User Activity3.3.6 Evidence Selection Strategy3.3.7 PerformanceFurther ReadingsReferences

4.1 Efficient Resource Allocation in Pervasive Environments4.1.1 Introduction to PMP Systems4.1.2 Pipeline-Based Resource Allocation4.1.3 Probabilistic Approach-Based Resource Allocation4.1.3.1 Basic Algorithm4.1.3.2 Optimized Algorithm4.1.3.3 Probability Analysis4.2 Transparent Task Migration4.2.1 Introduction to Task Migration4.2.2 Task Migration Model4.2.2.1 HTML/DHTML Viewstate4.2.2.2 OZ Source File Reorganization4.2.2.3 Compiler Support4.2.2.4 Application State Persistence and Recovery4.2.3 Resource Redirection4.2.3.1 Resource Handle Transformation Schema4.2.3.2 Resource Transformation Schema4.2.4 xMozart: A Novel Platform for Intelligent Task Migration4.2.4.1 Migration Management Modules4.2.4.2 Multiple Modalities4.2.4.3 Multimodal Programming in xMozart4.2.5 Implementation and Illustrations4.2.5.1 Prototype for Application Migration4.2.5.2 Prototype for MultimodalitiesFurther ReadingsReferences
5.1 Overview5.2 HCI Service and Interaction Migration5.3 Context-Driven HCI Service Selection5.3.1 Interaction Service Selection Overview5.3.2 User Devices5.3.2.1 Service-Oriented Middleware Support5.3.2.2 User History and Preference5.3.3 Context Manager5.3.4 Local Service Matching5.3.5 Global Combination Selection5.3.5.1 Effective Region5.3.5.2 User Active Scope5.3.5.3 Service Combination Selection Algorithm5.4 Scenario Study: Video Calls at a Smart Office5.4.1 Scenario Description5.4.1.1 The Smart Office Environment5.4.1.2 Scenario Description5.4.2 HCI Migration Request5.4.3 Context Format5.4.4 Device Profile5.4.5 Experiments and Results5.4.5.1 Simulation Result5.4.5.2 Scalability5.5 A Web Service–Based HCI Migration Framework5.5.1 HCI Migration Support Environment5.5.2 Interaction Requirements Description5.5.3 Interaction Devices Manager5.5.4 Interaction Web Service5.5.5 Runtime Migration Demonstration5.6 Summary5.7 Appendices5.7.1 Request Format in XML5.7.2 Context Format in XML5.7.3 Device Profile in XMLFurther ReadingsReferences
6.1 Introduction to Pervasive Transactions6.2 Mobile Transaction Framework6.2.1 Unavailable Transaction Service6.2.2 Pervasive Transaction Processing Framework6.3 Context-Aware Pervasive Transaction Model6.3.1 Context Model for Pervasive Transaction Processing6.3.2 Context-Aware Pervasive Transaction Model6.3.3 A Case of Pervasive Transactions6.4 Dynamic Transaction Management6.4.1 Context-Aware Transaction Coordination Mechanism6.4.2 Coordination Algorithm for Pervasive Transactions6.4.3 Participant Discovery6.5 Formal Transaction Verification6.5.1 Petri Net with Selective Transition6.5.2 Petri Net–Based Formal Verification6.6 Evaluations6.6.1 Experiment Environment6.6.2 Results and EvaluationFurther ReadingsReferences
7.1 Content-Based Recommendation in an RSS Reader7.1.1 Data Collection7.1.2 Recommendation Features7.1.3 Feature Combinations7.1.4 Performance7.2 A Collaborative Filtering-Based Recommendation7.2.1 Background on Collaborative Filtering7.2.2 CFSF Approach7.2.2.1 Overview7.2.2.2 Offline Phase7.2.2.3 Online Phase7.2.3 Performance of CFSF7.2.3.1 Metrics7.2.3.2 Overall Performance7.3 Preference-Based Top-K Recommendation in Social Networks7.3.1 Problem Formulation7.3.2 Computing User Preferences7.3.3 Greedy Algorithm for Mining Top-K Nodes7.3.4 Performance7.3.4.1 Influence Model7.3.4.2 Algorithms and Metrics7.3.4.3 Study on Influence Spread7.3.4.4 ISST versus IS7.3.4.5 Expert Search7.3.4.6 GAUP versus CF7.3.4.7 Topic Drift of HITSFurther ReadingsReferences
8.1 iCampus Prototype8.1.1 iShadow: Pervasive Computing Environment8.1.2 Applications in iCampus Prototype8.2 IPSpace: An IPv6-Enabled Intelligent Space8.2.1 IPSpace Architecture Overview8.2.1.1 Device Layer8.2.1.2 Service Layer8.2.1.3 Security Architecture8.2.2 Lightweight Embedded Web Services8.2.2.1 Middleware Layer8.2.2.2 Implementation8.2.3 ExperimentFurther ReadingsReferences

Overview

This book introduces fundamental concepts and theories in pervasive computing as well as its key technologies and applications. It explains how to design and implement pervasive middleware and real application systems, covering nearly all aspects related to pervasive computing. Key technologies in the book include pervasive computing-oriented resource management and task migration, mobile pervasive transaction, human computer interface, and context collection-oriented wireless sensor networks.