Indoor Location Detection of User using Radio Frequency of WiFi

  • Gulshan Sharma,
  • Jeevesh Awal
Keywords: (BLE


In the era of smart cities, there are a plethora of applications where the localization of indoor environments is important, from monitoring and tracking in smart buildings to proximity marketing and advertising in shopping malls. The success of these applications is based on the development of a cost efficient
and robust real-time system capable of accurately localizing objects. In most outdoor localization
systems, global positioning system (GPS) is used due to its ease of implementation and accuracy up to five
meters. However, due to the limited space that comes with performing localization of indoor environments
and the large number of obstacles found indoors, GPS is not a suitable option. Hence, accurately and
efficiently locating objects is a major challenge in indoor environments. Recent advancements in the
Internet of Things (IoT) along with novel wireless technologies can alleviate the problem. Small-size
and cost-efficient IoT devices which use wireless protocols can provide an attractive solution. In this
paper, we compare four wireless technologies for indoor localization: Wi-Fi (IEEE 802.11n-2009 at the
2.4 GHz band), Bluetooth low energy, Zigbee, and long-range wide-area network. The received signal strength indicator (RSSI) values from Wi-Fi modality were used and trilateration was performed for localization.
The system predicts the location of the user within a room, and performs action based on the location of the user in the premises..


A. Zanella, N. Bui, A. Castellani, L. Vangelista, and M.zorzi, ‘‘Internet of Things for smart cities,’’ IEEE Internet Things J., vol. 1, no. 1, pp. 22–32, Feb. 2014.
G. Kortuem, F. Kawsar, V. Sundramoorthy, and D. Fitton, ‘‘Smart objects as building blocks for the Internet of Things,’’ IEEE Internet Comput., vol. 14, no. 1, pp. 44–51,Jan. 2010.
D. Zhang, L. T. Yang, M. Chen, S. Zhao, M. Guo, and Y. Zhang, ‘‘Real-time locating systems using active RFID for Internet of Things,’’ IEEE Syst. J., vol. 10, no. 3, pp. 1226–1235, Sep. 2016.

J. Pan, R. Jain, S. Paul, T. Vu, A. Saifullah, and M. Sha, ‘‘An Internet of Things framework for smart energy in buildings: Designs, prototype, and experiments,’’ IEEE Internet Things J., vol. 2, no. 6, pp. 527–537, Dec. 2015.
S. Alletto et al., ‘‘An indoor location-aware system for an IoT-based smart museum,’’ IEEE Internet Things J., vol. 3, no. 2, pp. 244–253, Apr. 2016.
N. A. Alrajeh, M. Bashir, and B. Shams, ‘‘Localization techniques in wireless sensor networks,’’ Int. J. Distrib.Sensor Netw., vol. 9, no. 6, p. 304628, 2013.
F. Zafari, I. Papapanagiotou, M. Devetsikiotis, and T. J. Hacker. (Mar. 2017). ‘‘An iBeacon based proximity and indoor localization system.’’ [Online]. Available:
H. Liu, H. Darabi, P. Banerjee, and J. Liu, ‘‘Survey of wireless indoor positioning techniques and systems,’’ IEEE Trans. Syst., Man, Cybern. C, Appl. Rev., vol. 37, no. 6, pp. 1067–1080, Nov. 2007
A. Athalye, V. Savic, M. Bolic, and P. M. Djuric, ‘‘Novel semi-passive RFID system for indoor localization,’’ IEEE Sensors J., vol. 13, no. 2, pp. 528–537, Feb. 2013.
H. Yang et al., ‘‘Smartphone-based indoor localization system using inertial sensor and acoustic transmitter/receiver,’’ IEEE Sensors J., vol. 16, no. 22, pp. 8051–8061, Nov. 2016.
A. Yassin et al., ‘‘Recent advances in indoor localization: A survey on theoretical approaches and applications,’’ IEEE Commun. Surveys Tuts., vol. 19, no. 2, pp. 1327–1346, 2nd Quart., 2017.
A. L. Ballardini, L. Ferretti, S. Fontana, A. Furlan, and D. G. Sorrenti, ‘‘An indoor localization system for telehomecare applications,’’ IEEE Trans. Syst., Man, Cybern. Syst., vol. 46, no. 10, pp. 1445–1455, Oct. 2016.
S. S. Saab and Z. S. Nakad, ‘‘A standalone RFID indoor positioning system using passive tags,’’ IEEE Trans. Ind. Electron., vol. 58, no. 5, pp. 1961–1970, May 2011.
R. Zhang, F. Höflinger, and L. Reindl, ‘‘Inertial sensor based indoor localization and monitoring system for emergency responders,’’ IEEE Sensors J., vol. 13, no. 2, pp. 838–848, Feb. 2013.
K. Whitehouse, C. Karlof, and D. Culler, ‘‘A practical evaluation of radio signal strength for ranging-based localization,’’ ACM SIGMOBILE Mobile Comput. Commun. Rev., vol. 11, no. 1, pp. 41–52, Jan. 2007.
[Online]. Available:
Z. Farid, R. Nordin, and M. Ismail, ‘‘Recent advances in wireless indoor localization techniques and system,’’ J. Comput. Netw. Commun., vol. 2013, Aug. 2013, Art. no. 185138.
F. Zafari, A. Gkelias, and K. Leung. (Sep. 2017). ‘‘A survey of indoor localization systems and technologies.’’ [Online]. Available:
A. S. Paul and E. A. Wan, ‘‘RSSI-based indoor localization and tracking using sigma-point Kalman smoothers,’’ IEEE J. Sel. Topics Signal Process., vol. 3, no. 5, pp. 860–873, Oct. 2009.
S. Mazuelas et al., ‘‘Robust indoor positioning provided by real-time RSSI values in unmodified WLAN networks,’’ IEEE J. Sel. Topics Signal Process., vol. 3, no. 5, pp. 821–831, Oct. 2009.
P. Kumar, L. Reddy, and S. Varma, ‘‘Distance measurement and error estimation scheme for RSSI based localization in wireless sensor networks,’’ in Proc. 5th Int. Conf. Wireless Commun. Sensor Netw. (WCSN), Dec. 2009, pp. 1–4.
D. Ciuonzo, P. S. Rossi, and P. Willett, ‘‘Generalized Rao test for decentralized detection of an uncooperative target,’’ IEEE Signal Process. Lett., vol. 24, no. 5, pp. 678–682, May 2017.
D. Ciuonzo and P. S. Rossi, ‘‘Distributed detection of a non-cooperative target via generalized locally-optimum approaches,’’ Inf. Fusion, vol. 36, pp. 261–274, Jul .2017. [Online]. Available: http://www.sciencedirect. com/science/article/pii/S1566253516302366
How to Cite
Sharma, G., & Awal, J. (2018). Indoor Location Detection of User using Radio Frequency of WiFi. Asian Journal For Convergence In Technology (AJCT) ISSN -2350-1146, 4(3). Retrieved from

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