Context-Aware System for Indoor Localization

Authors

  • M. Robiul Hoque Islamic University
  • Shomako Bosu Islamic University , Bangladesh.
  • Md. Aktaruzzaman Islamic University, Bangladesh.
  • M. Humayun Kab Islamic University, Bangladesh

Keywords:

Context-awareness, Indoor-Localization, Sensor, Service, Rule-Base, Smartphone

Abstract

User location is an important information to provide personalized service in any domain of interest. In this paper, we present a context-aware system to find location of a user at office domain. Hence, smartphone of the user transmits Wi-Fi signal and our system identifies the user by matching MAC address of the smartphone. Wi-Fi signal strength is used to calculate the distance of user from office room. Additionally, PIR sensor value and office time are used to increase localization accuracy as well as minimize the conflict of user location. Raspberry pi 3, a low-cost embedded platform, is used to collect and process sensed information, generate low-level context, and reason user location from available contexts. Demonstration result of our system shows an excellent performance within our domain of interest.

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Author Biographies

Shomako Bosu, Islamic University , Bangladesh.

Department of Computer Science and Engineering

Md. Aktaruzzaman, Islamic University, Bangladesh.

Department of Computer Science and Engineering

M. Humayun Kab, Islamic University, Bangladesh

Department of Electrical and Electronic Engineering

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Raspberry pi model 3, “https://www.raspberrypi.org/products/raspberry-pi-3-model-b/”

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Sqlite, https://www.sqlite.org/index.html

Published

2020-04-30

How to Cite

M. Robiul Hoque, Shomako Bosu, Md. Aktaruzzaman, & M. Humayun Kab. (2020). Context-Aware System for Indoor Localization. Computer Reviews Journal, 6, 19-27. Retrieved from https://purkh.com/index.php/tocomp/article/view/667

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Section

Research Articles

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