RSSI-based Device Free Localization for Elderly Care Application

Shaufikah Shukri, Latifah Munirah Kamarudin, David Lorater Ndzi, Ammar Zakaria, Saidatul Norlyna Azemi, Kamarulzaman Kamarudin, Syed Muhammad Mamduh Syed Zakaria


Device-Free Localization (DFL) is an effective human localizing system that exploits changes in radio signals strength of radio network. DFL is playing a critical role in many applications such as elderly care, intrusion detection, smart home, etc. DFL is ideal for monitoring the elderly activities without causing any physical discomfort with the wearable devices. It is challenging for elderly to remember each day to wear or to activate those devices. The purpose of this study is to select the best DFL methods in term of detection and tracking accuracy, which is suitable for human monitoring application especially for elderly and disable people. This paper proposes an RSSI-based DFL system that can be used to detect and locate elderly people in an area of interest (AoI) using changes in signal strength measurements. An attenuation-based and variance based methods have been introduced in the proposed DFL system. In stationary people scenario, attenuation-based method managed to accurately detect the presence of human, which is very suitable for elderly care application compared to variance-based DFL. The result shows that attenuation-based method managed to detect all trajectories of moving people with 100% detection accuracy while variance-based method only give 71.74% accuracy.


  1. Bocca, M., Kaltiokallio, O. and Patwari, N., 2012. Radio tomographic imaging for ambient assisted living. In International Competition on Evaluating AAL Systems through Competitive Benchmarking (pp. 108-130). Springer Berlin Heidelberg.
  2. Chen, X., Edelstein, A., Li, Y., Coates, M., Rabbat, M. and Men, A., 2011. Sequential Monte Carlo for simultaneous passive device-free tracking and sensor localization using received signal strength measurements. In IPSN'11, 10th International Conference on Information Processing in Sensor Networks, (pp. 342-353). IEEE.
  3. Chironi, V., Pasca, M., D'Amico, S., Leone, A. and Siciliano, P., 2015. IR-UWB for Ambient Assisted Living Applications. In Ambient Assisted Living (pp. 209-218). Springer International Publishing.
  4. Deak, G., Curran, K., Condell, J., Asimakopoulou, E. and Bessis, N., 2013. IoTs (Internet of Things) and DfPL (Device-free Passive Localisation) in a disaster management scenario. Simulation Modelling Practice and Theory, 35, pp.86-96.
  5. Domingo, M.C., 2012. An overview of the Internet of Things for people with disabilities. In Journal of Network and Computer Applications, 35(2), pp.584- 596.
  6. Guo, W., Healy, W.M. and Zhou, M., 2012. Impacts of 2.4-GHz ISM band interference on IEEE 802.15. 4 wireless sensor network reliability in buildings. In IEEE Transactions on Instrumentation and Measurement, 61(9), pp.2533-2544.
  7. Jin, Z., Bu, Y., Liu, J., Wang, X. and An, N., 2015. Development of Indoor Localization System for Elderly Care Based on Device-Free Passive Method. In ISDEA'15, 6th International Conference on Intelligent Systems Design and Engineering Applications, (pp. 328-331). IEEE.
  8. Kaltiokallio, O. and Bocca, M., 2011. Real-time intrusion detection and tracking in indoor environment through distributed RSSI processing. In RTCSA'11, 17th International Conference on Embedded and Real-Time Computing Systems and Applications, (Vol. 1, pp. 61- 70). IEEE.
  9. Kaltiokallio, O., Bocca, M. and Patwari, N., 2012. Follow@ grandma: Long-term device-free localization for residential monitoring. In LCN Workshops'12, 37th Conference on Local Computer Networks Workshops, (pp. 991-998). IEEE.
  10. Kanso, M.A. and Rabbat, M.G., 2009. Compressed RF tomography for wireless sensor networks: Centralized and decentralized approaches. In International Conference on Distributed Computing in Sensor Systems (pp. 173-186). Springer Berlin Heidelberg.
  11. Kassem, N., Kosba, A.E. and Youssef, M., 2012. RFbased vehicle detection and speed estimation. In VTC Spring'12, 75th Vehicular Technology Conference (pp. 1-5). IEEE
  12. McCracken, M., Bocca, M. and Patwari, N., 2013. Joint ultra-wideband and signal strength-based throughbuilding tracking for tactical operations. In SECON'13, 10th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, (pp. 309-317). IEEE.
  13. Memsic Inc., 2009. MEMSIC IRIS datasheet, Doc. Part No.: 6020-0124-01 Rev B.
  14. Patwari, N. and Wilson, J., 2010. RF sensor networks for device-free localization: Measurements, models, and algorithms. In Proceedings of the IEEE, 98(11), pp.1961-1973.
  15. Rose, K., Eldridge, S. and Chapin, L., 2015. The internet of things: An overview. The Internet Society (ISOC), pp.1-50.
  16. Shukri, S., Kamarudin, L.M., Goh, C.C., Gunasagaran, R., Zakaria, A., Kamarudin, K., Zakaria, S.M.M.S., Harun, A. and Azemi, S.N., 2016. Analysis of RSSIbased DFL for human detection in indoor environment using IRIS mote. In ICED'16 3rd International Conference on Electronic Design, (pp. 216-221). IEEE.
  17. Turner, J.S., Ramli, M.F., Kamarudin, L.M., Zakaria, A., Shakaff, A.Y.M., Ndzi, D.L., Nor, C.M., Hassan, N. and Mamduh, S.M., 2013. The study of human movement effect on Signal Strength for indoor WSN deployment. In ICWISE'13, Conference on Wireless Sensor, (pp. 30-35). IEEE.
  18. Vermesan, O. and Friess, P. eds., 2014. Internet of thingsfrom research and innovation to market deployment (pp. 74-75). Aalborg: River Publishers.
  19. Wilson, J. and Patwari, N., 2010. Radio tomographic imaging with wireless networks. In IEEE Transactions on Mobile Computing, 9(5), pp.621-632.
  20. Wilson, J. and Patwari, N., 2011. See-through walls: Motion tracking using variance-based radio tomography networks. In IEEE Transactions on Mobile Computing, 10(5), pp.612-621.
  21. Zhao, Y. and Patwari, N., 2011. Noise reduction for variance-based device-free localization and tracking. In SECON'11, 8th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, (pp. 179-187). IEEE.

Paper Citation

in Harvard Style

Shukri S., Munirah Kamarudin L., Ndzi D., Zakaria A., Azemi S., Kamarudin K. and Syed Zakaria S. (2017). RSSI-based Device Free Localization for Elderly Care Application . In Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS, ISBN 978-989-758-245-5, pages 125-135. DOI: 10.5220/0006361901250135

in Bibtex Style

author={Shaufikah Shukri and Latifah Munirah Kamarudin and David Lorater Ndzi and Ammar Zakaria and Saidatul Norlyna Azemi and Kamarulzaman Kamarudin and Syed Muhammad Mamduh Syed Zakaria},
title={RSSI-based Device Free Localization for Elderly Care Application},
booktitle={Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,},

in EndNote Style

JO - Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,
TI - RSSI-based Device Free Localization for Elderly Care Application
SN - 978-989-758-245-5
AU - Shukri S.
AU - Munirah Kamarudin L.
AU - Ndzi D.
AU - Zakaria A.
AU - Azemi S.
AU - Kamarudin K.
AU - Syed Zakaria S.
PY - 2017
SP - 125
EP - 135
DO - 10.5220/0006361901250135