Wireless Indoor Localization: A Crowdsourcing Approach

Wireless Indoor Localization: A Crowdsourcing Approach

English | PDF,EPUB | 2018 | 225 Pages | ISBN : 981130355X | 36.24 MB

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.

Download:

http://longfiles.com/p1a8td9webb5/Wireless_Indoor_Localization_A_Crowdsourcing_Approach.rar.html

[Fast Download] Wireless Indoor Localization: A Crowdsourcing Approach


Ebooks related to "Wireless Indoor Localization: A Crowdsourcing Approach" :
Data Science for Dummies, 2nd Edition
Big Data Analytics with SAS
Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2017, Part II
Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2017, Part I
Intelligence Science and Big Data Engineering: 7th International Conference
Joe Celko's Trees and Hierarchies in SQL for Smarties
A Data Scientist's Guide to Acquiring, Cleaning, and Managing Data in R
Web Development with MongoDB and Node.js
Big Data Analytics with R
SQL: Learn Basics of Queries and Implement Easily
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.
Sitemap