5th International ICST Conference on Body Area Networks

Research Article

Practical Comparison of Ranging in IEEE 802.15.4 and IEEE 802.15.4a Medical Body Sensor Networks

  • @INPROCEEDINGS{10.1145/2221924.2221928,
        author={Dries Neirynck and Harmke De Groot and Javier Espina and Kathleen Philips},
        title={Practical Comparison of Ranging in IEEE 802.15.4 and IEEE 802.15.4a Medical Body Sensor Networks},
        proceedings={5th International ICST Conference on Body Area Networks},
        publisher={ACM},
        proceedings_a={BODYNETS},
        year={2012},
        month={6},
        keywords={Body Area Networks Body Sensor Networks Elderly Care Health Monitoring IEEE 802.15.4 IEEE 802.15.4a Ranging and Ultra-wideband},
        doi={10.1145/2221924.2221928}
    }
    
  • Dries Neirynck
    Harmke De Groot
    Javier Espina
    Kathleen Philips
    Year: 2012
    Practical Comparison of Ranging in IEEE 802.15.4 and IEEE 802.15.4a Medical Body Sensor Networks
    BODYNETS
    ACM
    DOI: 10.1145/2221924.2221928
Dries Neirynck1,*, Harmke De Groot1, Javier Espina2, Kathleen Philips1
  • 1: Stichting IMEC Nederland
  • 2: Philips Research Europe
*Contact email: dries.neirynck@imec-nl.nl

Abstract

In this paper, a practical comparison of the wireless standards IEEE 802.15.4 and IEEE 802.15.4a is described. Particularly the ranging capabilities of both systems are studied, with the aim of enabling a senior health monitoring application to automatically detect with which user sensors are associated. The relevant characteristics of both systems are presented, as well as the difference between received signal strength and time of arrival based ranging methods. Next, a measurement campaign based on a TI 802.15.4/Zigbee chipset and IMEC's 802.15.4a demonstrator is presented. Results show that the received signal strength is too heavily influenced by other parameters to use it as a metric for accurate distance estimation. IEEE 802.15.4a based time of arrival methods are far more accurate. Particularly leading edge detection performs well, with an average error in line-of-sight conditions below 6 cm.