Abstract
Many indoor localization techniques that rely on received signals from Wi-Fi access points have been explored in the last decade. Recently, crowdsourced Wi-Fi fingerprint attracts much attention, which leads to a self-organized localization system avoiding painful survey efforts. However, this participatory approach introduces new challenges with no previously proposed techniques such as heterogeneous devices, short measurement time, and multiple values for a single position. This paper proposes an efficient localization method combating the three major technical issues in the crowdsourcing based systems. We evaluate our indoor positioning method using 5 places with different radio environment and 8 different mobile phones. The experimental results show that the proposed approach provides consistent localization accuracy and outperforms existing localization algorithms.
Highlights
Navigation ability of smart phones and tablets at indoor environment becomes a challenge as recent mobile Location Based Services (LBSs) [1,2,3] require more accurate and seamless positioning at both indoor and outdoor environment
We introduce several practical approaches that are less complicated and easy to apply for the fingerprint based indoor localization to compare performance with Freeloc
We propose a simple yet effective method based on our experiment results that show the most frequently captured Received Signal Strength (RSS) in short duration is very close to the most RSS in the long-duration measurement case
Summary
Navigation ability of smart phones and tablets at indoor environment becomes a challenge as recent mobile Location Based Services (LBSs) [1,2,3] require more accurate and seamless positioning at both indoor and outdoor environment. Mobile phones inquire their location with measured fingerprint data to a remote server that holds the radio map in the localization phase. The CIL has to extract accurate fingerprint values from short measurement time for Received Signal Strength (RSS) because the mobile users as voluntary surveyors probably provide short-term RSS measurements. The RSS measurement results in different values across the heterogeneous devices even at exactly the same positions This crowdsourcing approach has been considered in many recent researches [14,15,16,17,18,19]. We compare the Freeloc with existing practical indoor localization algorithms for the CIL in terms of accuracy.
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