Context-Aware System for Indoor Localization


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


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


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.


Download data is not yet available.

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


Luca Mainetti, Luigi Patrono and Ilaria Sergi, “A Survey on Indoor Positioning Systems”, 22nd International Conference on Software, Telecommunications and Computer Networks (SoftCOM), Split, Croatia, 2014

Anind K. Dey and Gregory D. Abowd, ” Towards a Better Understanding of Context and Context-Awareness”, Proceedings of the 1st International Symposium on Handheld and Ubiquitous Computing, 1999, pp.304-307.

Mario Pichler, Ulrich Bodenhofer and Wieland Schwinger, “Context-Awareness and Artificial Intelligence”, ÖGAI Journal, vol. 23, pp. 4-11, 2004.

M. Humayun Kabir, M. Robiul Hoque, Hyungyu Seo, and Sung-Hyun Yang, “ Machine Learning Based Adaptive Context-aware System for smart Home Environment”, International Journal of smart Home, Vo. 9, No. 11, 2015, P. 55-62.

Hyun-Wook Kim, M. Robiul Hoque, Hyungyu Seo, and Sung-Hyun Yang, “Development of Middleware Architecture to Realize Context-Aware Service in Smart Home Environment”, Computer Science and Information Systems, Vol. 13 (2), pp. 427-452, June, 2016.

M. Robiul Hoque, M. Humayun Kabir, Hyungyu Seo, and Sung-Hyun Yang, “PARE: Profile-Applied Reasoning Engine for Context-Aware System”, International Journal of Distributed Sensor Networks, SAGE Publishing, Vol. 12(7), pp. 1-11, July, 2016.

L. Chen, E. Wu, and G. Chen, “Intelligent Fusion of Wi-Fi and Inertial Sensor-Based Positioning Systems for Indoor Pedestrian Navigation,” IEEE Sensors J., vol PP, issue 99, June 2014.

M. Maffia, L. Mainetti, and L. Patrono, “Evaluation of potential effects of RFID-based item-level tracing systems on the integrity of biological pharmaceutical products,” Int. J. of RF Technologies: Research and Applications, vol. 3, no. 2, pp. 101-118, 2012.

G. Calcagnini, F. Censi, M. Maffia, L. Mainetti, E. Mattei, L. Patrono, and E. Urso, “Evaluation of thermal and nonthermal effects of UHF RFID exposure on biological drugs,” IEEE Transactions on Information Technology in Biomedicine, vol. 16, no. 2, pp. 1051-1057, 2012.

L. Catarinucci, R. Colella, M. De Blasi, V. Mighali, L. Patrono, and L. Tarricone, “High performance RFID tags for item-level tracing systems,” Proc. of International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2010), Split, Dubrovnik, pp.21-26, 23-25 Sept. 2010.

N. Li and B. Becerik-Gerber, “Performance-based evaluation of RFID based indoor location sensing solutions for the built environment,” Adv. Eng. Inf., vol. 25, pp. 535–546, Aug. 2011.

T.-H. Tsai, C.-H. Chang and S.-W. Chen, “Vision based indoor positioning for intelligent building, 2nd International Conference on Intelligent Green Building and Smart Grid (IGBSG), Prague, Czech Republic, 27-29 June 2016.

W. Elloumi et al., “Indoor navigation assistance with a Smartphone camera based on vanishing points,” Int. Conf. Indoor Positioning and Indoor Navigation (IPIN), Montbeliard, FR, pp. 1-9, 28-31 Oct. 2013.

M. Robiul Hoque and M. Humayun Kabir, “Context Management Framework for Context-Aware Service,” Journal of Applied Science and Technology, Vol-11, No.-01, PP.30-36, February 2019, Islamic University, Kushtia, Bangladesh.

D. Fensel, “Ontologies: A Silver Bullet for Knowledge Management and Electronic Commerce,” Springer, 2003.

T. Gu, H. K. Pung, D. Q. Zhang, “A Service-Oriented Middleware for Building Context-Aware Services,” Journal of Network and Computer Applications, Vol. 28(1), 2005, pp.1-18.

E.-S. Cho, T.-S. Yoon, J.-H. Choi, J.-Y. Paik, S. Helal, “An Integrated Formal Model for Context-Aware Systems,” Proceedings of the IEEE 37th Annual Computer Software and Applications Conference Workshops, 2013, pp.163-168.

J.-H. Jang, H.-G. Seo, S.-H. Yang, “A Rule-Making Method Using State Diagram for Rule-Based Context-Aware System in Smart Home Environment,” Proceedings of the International Symposium on Advanced and Applied Convergence, 2014, pp.138-141.

Raspberry pi model 3, “”

PIR, “”

MAC address, “”

Ubuntu Mate, “”

Python, “”




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



Research Articles

Most read articles by the same author(s)