Wireless Indoor Localization
A Crowdsourcing Approach
Specifically focusing on WiFi fingerprint based localization via crowdsourcing, the book follows a top-down approach and explores the three most important aspects of wireless indoor localization: deployment, maintenance, and service accuracy. After extensively reviewing the state-of-the-art literature, it highlights the latest advances in crowdsourcing-enabled WiFi localization. It elaborated the ideas, methods and systems for implementing the crowdsourcing approach for fingerprint-based localization. By tackling the problems such as: deployment costs of fingerprint database construction, maintenance overhead of fingerprint database updating, floor plan generation, and location errors, the book offers a valuable reference guide for technicians and practitioners in the field of location-based services. As the first of its kind, introducing readers to WiFi-based localization from a crowdsourcing perspective, it will greatly benefit and appeal to scientists and researchers in mobile and ubiquitous computing and related areas.
Part I Getting Started.- Chapter 1 Background and Overview.- Chapter 2 Mobile Crowdsourcing and Inertial Sensing.- Part II: Boosting Deployment: Making It Available.- Chapter 3 Radio Map Construction without Site Survey.- Chapter 4 Building Tomography: Automatic Floor Plan Generation.- Part III: Facilitating Maintenance: Making It Sustainable.- Chapter 5 Adaptive Radio Map Updating.- Chapter 6 Self-Deployable Peer-to-Peer Navigation.- Part IV: Enhancing Accuracy: Making It Reliable.- Chapter 7 Exploiting Spatial Awareness via Fingerprint Spatial Gradient.- Chapter 8 Enhancing WiFi Fingerprinting with Visual Clues.- Chapter 9 Mitigating Large Errors in Practice.- Part V: Conclusions.- Chapter 10 Research Summary and Future Directions.