Data Management Services for Evaluation of RF-based Indoor Localization

نویسندگان

  • Filip Lemic
  • Vlado Handziski
  • Adam Wolisz
چکیده

This report presents R2DM (Raw Ranging Data Management) and PDM (Processed Data Management) services. R2DM service is a web service developed for storing, managing and accessing the raw data from indoor localization benchmarking experiments. By raw ranging data we mean the measured physical values used as input for the localization algorithms, such as Angle of Arrival (AoA), Time of Arrival (ToA) and Received Signal Strength (RSS). Storing the raw data of indoor localization benchmarking experiments, together with the ground truth location and time of where and when the raw data was obtained and the device used for obtaining the data, gives the possibility of reusing the same raw data for benchmarking other indoor localization algorithms, thus achieving entirely objective comparison of performance of different algorithms. PDM service is the web service developed for storing the processed data, i.e. results of indoor localization benchmarking experiments, namely sets of ground truths and location estimates, together with latencies of location estimation, power consumptions, etc. Having the database of benchmarked solutions gives users the possibility of comparing their solutions with the performance of other benchmarked solutions and gives them the possibility of finding the best solution for their requirements. The report begins with the presentation of usual procedures (multilateration / multiangulation, fingerprinting, proximity) of estimating indoor location using usual types of raw data, namely RSS (Received Signal Strength), ToA (Time of Arrival) and AoA (Angle of Arrival). Moreover, it gives the design overview of developed services and it puts these services in the wider context of experimental benchmarking of indoor localization. Furthermore, it gives the detailed overview of the R2DM and PDM architectures, the hierarchy of data and metadata storage, and the description of the used message types. Finally, it provides descriptions of the functions that APIs of both services provide with examples of their usage.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Demo Abstract: Virtual Experimental Evaluation of RF-based Indoor Localization Algorithms

This demonstration presents a set of services for streamlined experimental evaluation and benchmarking of RFbased indoor localization algorithms using previously collected raw measurements. The platform consists of an online service for storing and managing raw indoor localization data collected in a set of extensive experiments. The platform also integrates a cloudbased service for calculation...

متن کامل

Indoor Positioning and Pre-processing of RSS Measurements

Rapid expansions of new location-based services signify the need for finding accurate localization techniques for indoor environments. Among different techniques, RSS-based  schemes and in particular oneof its variants which is based on Graph-based Semi-Supervised Learning (G-SSL) are widely-used approaches The superiority of this scheme is that it has low setup/training cost and at the same ti...

متن کامل

Evaluation of RF-based Indoor Localization Solutions for the Future Internet

RF-based indoor localization solutions enjoy consistent efforts of researchers to provide more accurate and sustainable solutions. The multiplicity of RFbased indoor localization solutions makes their evaluation an indispensable part of future Internet. However no unified scheme has been devised for evaluation of these solutions and their robustness against various parameters. In this work, we ...

متن کامل

GI Expert Talk on Localization

Smartphones are an important target platform for research and development of indoor localization solutions. Due to the large diversity of smartphone hardware and OS services, making general statements about the performance of indoor localization algorithms in different environments remains very challenging. In this work we present a comprehensive repository of measurement data which can be used...

متن کامل

An Indoor Positioning System Based on Wi-Fi for Energy Management in Smart Buildings

To offer indoor services to occupants in the context of smart buildings, it is necessary to consider information concerning to the identity and location of the occupants. This paper proposes an indoor positioning system (IPS) based on Wi-Fi fingerprint and K-nearest neighbors (KNN) method. The positioning of a mobile device (MD) using Wi-Fi technology involves online and offline phases. In this...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2014