Mobile SmartLife via Sensing, Localization, and Cloud Ecosystems
Author:   Kaikai Liu ,  Xiaolin Li (University of Florida, Gainesville, Florida, USA)
Publisher:   Taylor & Francis Inc
ISBN:  

9781498732345


Pages:   302
Publication Date:   13 December 2017
Format:   Hardback
Availability:   In Print   Availability explained
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Mobile SmartLife via Sensing, Localization, and Cloud Ecosystems


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Overview

Indoor location is one of the two most important contexts (time and location), becoming a key entry for mobile Internet. This book envisions potential indoor location applications, overviews the related state of the art technologies, and presents original patented techniques and open source prototype systems. The tutorial and sample code are provided as a good reference and starting point for readers who are interested in the technique detail.

Full Product Details

Author:   Kaikai Liu ,  Xiaolin Li (University of Florida, Gainesville, Florida, USA)
Publisher:   Taylor & Francis Inc
Imprint:   CRC Press Inc
Weight:   0.635kg
ISBN:  

9781498732345


ISBN 10:   1498732348
Pages:   302
Publication Date:   13 December 2017
Audience:   College/higher education ,  Professional and scholarly ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

1. Introduction. 2. Overview of Mobile Systems. 3. Acoustic Ranging and Communication. 4. Localization Algorithms. 5. Guoguo: Enabling Fine-Grained Smartphone Localization. 6. Enhancing Location Accuracy and Robustness via Opportunistic Sensing. 7. Pushing Location Awareness to Context-Aware Augmented Reality. 8. Towards Location-Aware Mobile Social Networks with Missions. 9. Wearable Localization via Mobile Crowd Sensing. 10. Improving Location Services via Social Collaboration. 11. Hiding Media Data via Shaders: Enabling Private Sharing in the Clouds. 12. Conclusion and Future Directions.

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Author Information

Kaikai Liu is a Ph.D. candidate in Electrical and Computer Engineering at the University of Florida (UF) under the supervision of Dr.Xiaolin Andy Li. , he alsosubmitted 6 papers and 3 patents with strong determination for innovation. Dr. Xiaolin (Andy) Li is an associate professor and area chair of Computer Engineering Division in Department of Electrical andComputer Engineering at University of Florida.

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