Service-oriented requirements

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Table of contents

I CONTEXT-AWARE INDOOR NAVIGATION 
1 Requirements for Context-Aware Indoor Navigation Systems 
1.1 On the role of context in mobile computing
1.2 Challenges in context-dependent indoor data models
1.2.1 Service-oriented requirements
1.2.1.1 Localisation
1.2.1.2 Context-aware, adaptive navigation
1.2.1.3 Location-aware communication
1.2.1.4 Activity-oriented interactions
1.2.1.5 Spatial & behavioural analyses
1.2.2 Efficiency-related requirements
1.2.2.1 Modelling effort
1.2.2.2 Flexibility
1.2.2.3 Performance and scalability
1.3 Data management issues in location-aware services and queries
1.3.1 Location-based services and queries
1.3.2 Continuous and adaptive query processing paradigms
1.3.2.1 Managing moving objects
1.3.2.2 Continuous evaluation of location-dependent queries
1.3.3 Query languages for location-dependent queries
1.4 Discussion
1.5 Summary
II RELATED WORK 
2 Spatial Models for Indoor Context-Aware Navigation Systems 
2.1 Introduction
2.2 A taxonomy of indoor spatial models
2.2.1 Geometric-based approaches
2.2.1.1 Cell-based models
2.2.1.2 Boundary-based models
2.2.2 Symbolic-based approaches
2.2.2.1 Set-based symbolic models
2.2.2.2 Graph-based models
2.2.3 Discussion
2.2.3.1 Geometric-based approaches
2.2.3.2 Symbolic approaches
2.2.3.3 Application perspective
2.3 Towards hybrid spatial models
3 Continuous Location-Dependent Query Processing 
3.1 Need for incremental and adaptive query processing
3.2 Architectures for location-dependent query processing
3.2.1 Continuous query processing in moving object databases
3.2.2 Approaches for location-dependent query processing over data streams
3.2.3 Approaches for managing and querying indoor moving objects
3.2.4 Towards context and preference-aware location-dependent queries
3.3 Continuous processing of navigation-related queries
3.3.1 Query processing in spatial network databases
3.3.2 Path queries
3.3.2.1 Multi-criteria & hierarchical path searches
3.3.2.2 Continuous path search algorithms
3.3.3 Range queries
3.3.4 Other kinds of location-dependent queries
3.3.4.1 Nearest neighbour queries
3.3.4.2 Reachability Queries and Reverse Range and kNN Queries
3.4 Languages for location-dependent queries
3.4.1 Query languages in moving object databases
3.4.2 Data types and operations for spatio-temporal data streams
3.4.3 Languages for querying preference-aware and context data
3.5 Conclusions
III DATA MODEL, QUERY LANGUAGE, ALGORITHMS, AND SYSTEM DESIGN 
4 A Hierarchical and Context-Dependent Indoor Data Model 
4.1 Need for a hierarchical and context-dependent data model
4.2 Modelling approach
4.2.1 Spatial component
4.2.1.1 Core spatial layer
4.2.1.2 Coarser spatial layers
4.2.2 Feature component
4.2.2.1 Principles
4.2.2.2 User profiles
4.2.2.3 Real-time event management
4.2.3 Action component
4.3 Conclusions
5 A Language for Continuous Location-Dependent Queries in Indoor Environ-ments 
5.1 Continuous query processing architecture
5.1.1 Principles
5.1.2 Architecture overview
5.1.2.1 Route management
5.1.2.2 Distribution management
5.2 A language for continuous location-dependent queries
5.2.1 Principles
5.2.2 Query semantics
5.2.3 Managing and representing location granules
5.2.4 Motivating examples of location-dependent queries
5.3 Discussion
6 Algorithms for Continuous Path and Range Queries in Indoor Mobile Environ-ments 
6.1 Hierarchical and incremental processing of continuous LDQs
6.2 Continuous processing of indoor path queries
6.2.1 Algorithm principles
6.2.2 Hierarchical and incremental path search algorithm
6.2.2.1 Hierarchical path search
6.2.2.2 Continuous query processing
6.3 Continuous processing of indoor range queries
6.3.1 Hierarchical range network expansion
6.3.2 Incremental algorithm for continuous range search
6.4 Discussion
7 A PostgreSQL Extension for Continuous Location-Dependent Query Processing
7.1 Comparative study of existing platforms for handling LDQs
7.2 System implementation
7.2.1 Overview
7.2.2 Optimization
7.3 Experimental evaluation
7.3.1 Experimental settings
7.3.2 Experimental results
7.3.3 System Scalability
7.3.4 Summary of the experiments
7.4 Conclusions
CONCLUSIONS AND FUTURE WORK