Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/715
Title: Wireless Indoor Localization
Other Titles: A Crowdsourcing Approach /
Authors: Wu, Chenshu. ;;Yang, Zheng. ;;Liu, Yunhao. ;
subject: Computer Science;Telecommunication. ;;Software Engineering;Information Systems Applications;Personal Computing. ; http://scigraph.springernature.com/things/product-market-codes/I24083. ;;Communications Engineering, Networks. ; http://scigraph.springernature.com/things/product-market-codes/T24035. ;;Special Purpose and Application-Based Systems. ; http://scigraph.springernature.com/things/product-market-codes/I13030. ;
Year: 2018
place: Singapore :
Publisher: Springer Singapore :
Imprint: Springer,
Abstract: This book provides a comprehensive and in-depth understanding of wireless indoor localization for ubiquitous applications. The past decade has witnessed a flourishing of WiFi-based indoor localization, which has become one of the most popular localization solutions and has attracted considerable attention from both the academic and industrial communities. 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. . ;
Description: 
005.7 ; 23 ;
QA76.76.A65 ;
Printed edition: ; 9789811303555. ;
SpringerLink (Online service) ;



Printed edition: ; 9789811303579. ;
URI: http://localhost/handle/Hannan/715
ISBN: 9789811303562 ;
9789811303555 (print) ;
9789811303579 (print) ;
More Information: XVII, 220 p. 111 illus., 8 illus. in color. ; online resource. ;
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
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9789811303555.pdf9.05 MBAdobe PDFThumbnail
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Title: Wireless Indoor Localization
Other Titles: A Crowdsourcing Approach /
Authors: Wu, Chenshu. ;;Yang, Zheng. ;;Liu, Yunhao. ;
subject: Computer Science;Telecommunication. ;;Software Engineering;Information Systems Applications;Personal Computing. ; http://scigraph.springernature.com/things/product-market-codes/I24083. ;;Communications Engineering, Networks. ; http://scigraph.springernature.com/things/product-market-codes/T24035. ;;Special Purpose and Application-Based Systems. ; http://scigraph.springernature.com/things/product-market-codes/I13030. ;
Year: 2018
place: Singapore :
Publisher: Springer Singapore :
Imprint: Springer,
Abstract: This book provides a comprehensive and in-depth understanding of wireless indoor localization for ubiquitous applications. The past decade has witnessed a flourishing of WiFi-based indoor localization, which has become one of the most popular localization solutions and has attracted considerable attention from both the academic and industrial communities. 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. . ;
Description: 
005.7 ; 23 ;
QA76.76.A65 ;
Printed edition: ; 9789811303555. ;
SpringerLink (Online service) ;



Printed edition: ; 9789811303579. ;
URI: http://localhost/handle/Hannan/715
ISBN: 9789811303562 ;
9789811303555 (print) ;
9789811303579 (print) ;
More Information: XVII, 220 p. 111 illus., 8 illus. in color. ; online resource. ;
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9789811303555.pdf9.05 MBAdobe PDFThumbnail
Preview File
Title: Wireless Indoor Localization
Other Titles: A Crowdsourcing Approach /
Authors: Wu, Chenshu. ;;Yang, Zheng. ;;Liu, Yunhao. ;
subject: Computer Science;Telecommunication. ;;Software Engineering;Information Systems Applications;Personal Computing. ; http://scigraph.springernature.com/things/product-market-codes/I24083. ;;Communications Engineering, Networks. ; http://scigraph.springernature.com/things/product-market-codes/T24035. ;;Special Purpose and Application-Based Systems. ; http://scigraph.springernature.com/things/product-market-codes/I13030. ;
Year: 2018
place: Singapore :
Publisher: Springer Singapore :
Imprint: Springer,
Abstract: This book provides a comprehensive and in-depth understanding of wireless indoor localization for ubiquitous applications. The past decade has witnessed a flourishing of WiFi-based indoor localization, which has become one of the most popular localization solutions and has attracted considerable attention from both the academic and industrial communities. 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. . ;
Description: 
005.7 ; 23 ;
QA76.76.A65 ;
Printed edition: ; 9789811303555. ;
SpringerLink (Online service) ;



Printed edition: ; 9789811303579. ;
URI: http://localhost/handle/Hannan/715
ISBN: 9789811303562 ;
9789811303555 (print) ;
9789811303579 (print) ;
More Information: XVII, 220 p. 111 illus., 8 illus. in color. ; online resource. ;
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9789811303555.pdf9.05 MBAdobe PDFThumbnail
Preview File