作者: Pei, L (Pei, Ling); Zhang, M (Zhang, Min); Zou, DP (Zou, Danping); Chen, RZ (Chen, Ruizhi); Chen, YW (Chen, Yuwei)

来源出版物: MOBILE INFORMATION SYSTEMS 文献号: 4041291 DOI: 10.1155/2016/4041291 出版年: 2016

摘要: Sensor-rich smartphone enables a novel approach to training the fingerprint database for mobile indoor localization via crowd sensing. In this survey, we discuss the crowd sensing based mobile indoor localization in terms of foundational knowledge, signals of fingerprints, trajectory of obtaining fingerprints, indoor maps, evolution of a fingerprint database, positioning algorithms, state-of-the-art solutions, and challenges. The survey concludes that the crowd sensing is a low cost solution of generating and updating an organic fingerprint database. Although the crowd sensing concept is widely accepted by the academic community in these years, there are a lot of unsolved problems which hinder the concept of transferring into a practical system. We address the challenges and predict future trends in the end.