An Analysis of Device-Free and Device-Based WiFi-Localization Systems

Heba Aly and Moustafa Youssef
Additional contact information
Heba Aly: Department of Computer and Systems Engineering, Alexandria University, Alexandria, Egypt
Moustafa Youssef: Wireless Research Center, Egypt-Japan University of Science and Technology and Alexandria University, Alexandria, Egypt

International Journal of Ambient Computing and Intelligence (IJACI), 2014, vol. 6, issue 1, 1-19

Abstract: WiFi-based localization became one of the main indoor localization techniques due to the ubiquity of WiFi connectivity. However, indoor environments exhibit complex wireless propagation characteristics. Typically, these characteristics are captured by constructing a fingerprint map for the different locations in the area of interest. This finger print requires significant overhead in manual construction, and thus has been one of the major drawbacks of WiFi-based localization. In this paper, the authors present an automated tool for finger print constructions and leverage it to study novel scenarios for device-based and device-free WiFi-based localization that are difficult to evaluate in a real environment. In a particular, the authors examine the effect of changing the access points (AP) mounting location, AP technology upgrade, crowd effect on calibration and operation, among others; on the accuracy of the localization system. The authors present the analysis for the two classes of WiFi-based localization: device-based and device-free. The authors analysis highlights factors affecting the localization system accuracy, how to tune it for better localization, and provides insights for both researchers and practitioners.

Date: 2014
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/ijaci.2014010101 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jaci00:v:6:y:2014:i:1:p:1-19

Access Statistics for this article

International Journal of Ambient Computing and Intelligence (IJACI) is currently edited by Nilanjan Dey

More articles in International Journal of Ambient Computing and Intelligence (IJACI) from IGI Global
Bibliographic data for series maintained by Journal Editor ().