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Wireless Personal Communications

, Volume 103, Issue 3, pp 2229–2244 | Cite as

Dual Band RFID-Based Blood Glucose Monitoring System in Wireless Sensor Network Platform

  • Shabinar Abdul Hamid
  • Widad IsmailEmail author
  • Che Zalina Zulkifli
  • Samihah Abdullah
Article
  • 71 Downloads

Abstract

Accurate record on the patient’s glucose information is crucial to assist doctors in decision making and prescribing correct medication. In this paper, a dual band Radio-Frequency Identification (RFID) system embedded with glucose meter was developed by integrating a 920 MHz passive interrogator into the 2.45 GHz active tag to enable automatic patient detection, wireless data recording and monitoring in dense hospital environment with frequent usage. The real-time experimental results indicate that the developed embedded RFID system in the multihop wireless sensor network is able to maintain the integrity of the glucose data according to the identification of the patient until the data are successfully recorded to the remote host system. Design of Experiment method is performed to determine the factors that influenced the throughput performance of the system. Comparisons made between existing non-embedded RFID system and the proposed embedded RFID system. The three factors investigated were the packet length, number of hops and type of RFID. The statistical analysis showed that the packet length as the main factor influencing the throughput performance. The results showed that the larger packets increase the throughput, while the number of hops contributes more to the decreasing effect of the throughput compared to the implementation of embedded RFID system.

Keywords

DOE Dual band RFID Blood glucose monitoring 

Notes

Acknowledgements

The authors would like to thank the FRGS Grant (6071187) and RUI for sponsoring the development of the in house built in devices and Auto-ID Laboratory (AIDL), USM and UiTM for supporting this work.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Auto-ID Laboratory (AIDL), School of Electrical and Electronics EngineeringUniversiti Sains Malaysia (USM)Nibong TebalMalaysia
  2. 2.Faculty of Electrical EngineeringUniversiti Teknologi MARAPermatang PauhMalaysia
  3. 3.Computing Department, Faculty of Art, Computing and Creative IndustryUniversiti Pendidikan Sultan IdrisTanjung MalimMalaysia

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