Publication Type

Journal Article

Version

acceptedVersion

Publication Date

4-2015

Abstract

Wireless indoor positioning has been extensively studied for the past two decades and continuously attracted growing research efforts in mobile computing context. As the integration of multiple inertial sensors (e.g., accelerometer, gyroscope, and magnetometer) to nowadays smartphones in recent years, human-centric mobility sensing is emerging and coming into vogue. Mobility information, as a new dimension in addition to wireless signals, can benefit localization in a number of ways, since location and mobility are by nature related in physical world. In this article, we survey this new trend of mobility enhancing smartphone-based indoor localization. Specifically, we first study how to measure human mobility: what types of sensors we can use and what types of mobility information we can acquire. Next, we discuss how mobility assists localization with respect to enhancing location accuracy, decreasing deployment cost, and enriching location context. Moreover, considering the quality and cost of smartphone built-in sensors, handling measurement errors is essential and accordingly investigated. Combining existing work and our own working experiences, we emphasize the principles and conduct comparative study of the mainstream technologies. Finally, we conclude this survey by addressing future research directions and opportunities in this new and largely open area

Keywords

Mobility, Smartphones, Wireless Indoor Localization

Discipline

Software Engineering

Research Areas

Software and Cyber-Physical Systems

Publication

ACM Computing Surveys

Volume

47

Issue

3

First Page

54:1

Last Page

54:34

ISSN

0360-0300

Identifier

10.1145/2676430

Publisher

Association for Computing Machinery (ACM)

Additional URL

https://doi.org/10.1145/2676430

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