Proposal of ZigBee Systems for the Provision of Location Information and Transmission of Sensor Data in Medical Welfare


This paper proposes a scheme to obtain location and vital health information using ZigBee system. ZigBee systems are wireless communication systems defined by IEEE 802.154. In the proposed scheme, location information is obtained using the Link Quality Indication (LQI) function of a ZigBee system, which represents the received signal strength. And, the vital health information are collected from the electrocardiogram monitor, the pulse and blood pressure device, attached to the patient’s body. This information is then transmitted to an outside network by ZigBee systems. In this way, vital health information can be transmitted as ZigBee sensor data while patients with the ZigBee terminal are moving. In the experiments using actual ZigBee devices, the proposed scheme could obtain accurate location and vital health information from the sensor data. Moreover, to achieve high reliability in the actual service, the collected amount of sensor data was confirmed by the theoretic calculation, when a ZigBee terminal passed through ZigBee routers. These results indicate that the proposed scheme can be used to detect the accurate location of the ZigBee terminal. And over 99% of the sensor data on vital health information was obtained when the ZigBee terminal passed through approximately four ZigBee routers.

Share and Cite:

Hiraguri, T. , Aoyagi, M. , Morino, Y. , Akimoto, T. , Nishimori, K. and Hiraguri, T. (2015) Proposal of ZigBee Systems for the Provision of Location Information and Transmission of Sensor Data in Medical Welfare. E-Health Telecommunication Systems and Networks, 4, 45-55. doi: 10.4236/etsn.2015.43005.

Conflicts of Interest

The authors declare no conflicts of interest.


[2] Jawad, S.K., Jawad, S.K. and Al-Shagoor, B.E. (2008) A Multipurpose Child Tracking System Design and Implementation. International Journal of Soft Computing Applications, 57-68.
[3] Khan, J.Y., Yuce, M.R., Bulger, G. and Harding, B. (2012) Wireless Body Area Network (WBAN) Design Techniques and Performance Evaluation. Journal of Medical Systems, 36, 1441-1457.
[4] IEEE 802.15.4-2006 Std. (2006) Wireless Medium Access Control and Physical Layer Specifications for Low-Rate Wireless Personal Area Networks. IEEE Computer Society.
[5] Blumenthal, J., Grossmann, R., Golatowski, F. and Timmermann, D. (2007) Weighted Centroid Localization in Zigbee-Based Sensor Networks. Proceedings of IEEE International Symposium on Intelligent Signal Processing, Alcala de Henares, 3-5 October 2007, 1-6.
[6] Gomez, C., Boix, A. and Paradells, J. (2010) Impact of LQI-Based Routing Metrics on the Performance of a One-to-One Routing Protocol for IEEE 802.15.4 Multihop Networks. EURASIP Journal on Wireless Communication and Networking, 2010, Article ID 205407.
[7] Kaneko, N. and Nagasaka, Y. (2007) Position Estimation Method of Moving Objects by a Two-Point Positioning Technique with Active RFID Technology. Proc. Forum on Information Technology (FIT), Chukyo University, 5-7 September 2007, 285-286.
[8] IEEE 802.11WG (2007) IEEE Std. 802.11, Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications. ISO/IEC 8802-11.
[9] Wi-Fi Alliance (2011) Wi-Fi in Health Care: The Solution for Growing Hospital Communication Needs.
[10] Park, M.H., Kim, W.H., Lee, S.J. and Kim, H.C. (2012) GPS-Tag for Indoor Location Information and Additional User Information Providing. Proceedings of 14th International Conference on Advanced Communication Technology, PyeongChang, 19-22 Feburary 2012, 894-897.
[11] Wong, K.S., Ng, W.L., Chong, J.H., Ng, C.K., Sali, A. and Noordin, N.K. (2009) GPS Based Child Care System Using RSSI Technique. Proceedings of IEEE 9th Malaysia International Conference on Communications, Kuala Lumpur, 15-17 December 2009, 899-904.
[12] Jung, J., Ha, K., Lee, J., Kim, Y. and Kim, D. (2009) Wireless Body Area Network in a Ubiquitous Healthcare System for Physiological Signal Monitoring and Health Consulting. International Journal of Signal Processing, Image Processing and Pattern Recognition, Vol., 47-54.
[13] Kikuchi, A., Nakane, H. and Tsushima, H. (2011) Preliminary Study of Distance Needed to Achieve Constant Walking Speed and Step Length by Young Healthy Persons. Rigakuryoho Kagaku, 26, 647-650.
[14] Hayes, T.L., Hagler, S., Austin, D., Kaye, J. and Pavel M. (2009) Unobtrusive Assessment of Walking Speed in the Home Using Inexpensive PIR Sensors. Proceedings of Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Minneapolis, 3-6 September 2009, 7248-7251.
[15] Vathsangam, H., Emken, A., Spruijt-Metz, D. and Sukhatme, G.S. (2010) Toward Free-Living Walking Speed Estimation Using Gaussian Process-Based Regression with On-Body Accelerometers and Gyroscopes. Proceedings of 4th International Conference on-NO PERMISSIONS Pervasive Computing Technologies for Healthcare (PervasiveHealth), Munich, 22-25 March 2010, 1-8.
[16] Rec. ITU-R P.1238-6 (2009) Propagation Data and Prediction Methods for the Planning of Indoor Radio Communication Systems and Radio Local Area Networks in the Frequency Range 900 MHz to 100 GHz. ITU-R Recommendations.
[17] Hiraguri, T., Takase, H., Sugishita, T., Kimura, T., Aoyagi, M. and Nishimori, K. (2012) ZigBee-Based Scheme for Location Information and Data Transmission. IEICE Communications Express, 1, 72-77.

Copyright © 2021 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.