Wireless Indoor Localization

Chenshu Wu is a post-doctoral research associate in the Department of Electrical and Computer Engineering, University of Maryland, College Park. He received his Ph.D in 2015 in the Department of Computer Science and Technology, Tsinghua University. He visited The Hong Kong Polytechnic University and the University of Michigan, Ann Arbor in 2013 and 2014, respectively. He received his B.E. in 2010 in Computer Science from School of Software, Tsinghua University. His research interests include Internet of Things, mobile computing and wireless sensing, etc. He has published over 40 papers in competitive conferences and journals. He served as TPC members for premier conferences including IEEE INFOCOM, IEEE ICDCS, etc.   Zheng Yang is an associate professor in School of Software, Tsinghua University, Beijing, China. He received his B.E. degree in the Department of Computer Science and Technology from Tsinghua University, and his Ph.D. degree in the Department of Computer Science and Engineering of Hong Kong University of Science and Technology. His research interests include Internet of things, mobile computing, and pervasive computing. He is an author and co-author of over 100 research papers in premier journals and conferences.   Yunhao Liu, a Fellow of ACM and IEEE, is MSU Foundation Professor of Michigan State University, and Chang Jiang Professor of Tsinghua University. He received the Ph.D. degree and M.S. degree in Computer Science and Engineering from Michigan State University in 2003 and 2004, respectively, and a B.S. degree in the Automation Department of Tsinghua University in 1995. His research interests include distributed systems, cyber physical systems, and Internet of Things (IoT), etc. He has published over 200 papers on prestigious conferences and journals, as well as 3 books entitled ‘Introduction to IoT’ , ‘Internet of Everything for New Industrial Revolution’ and ‘Location, Localization, and Localizability’. He is now serving as the Editor-in-Chief for ACM Transactions on Sensor Networks.

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.