A Wireless Sensor Network Protocol for an Inertial Motion Tracking System
Rent the article at a discountRent now
* Final gross prices may vary according to local VAT.Get Access
Wireless sensor networks have found their way to countless applications in many different fields. Due to the restricted power availability these systems are faced with, custom wireless protocols have been designed. Many different protocols have already been conceived, yet each application will impose different requirements. In inertial motion tracking, sensor nodes are applied on the body allowing full body posture reconstruction. These nodes must not hinder or restrict the movements of the user in any way, meaning that a wireless approach is desirable. A suiting protocol that insures robust simultaneous functionality of at least 15 nodes at a rate of 100Hz is required. A TDMA based protocol with master/slave hierarchy is presented for the application at hand. Nodes dynamically decide on their role within the network at startup and reassess the network state regularly. Conflicting situations are handled whenever they arise and nodes react accordingly creating a fully plug-and-play system. Careful implementation of the protocol in embedded software allows data transmission of 19 nodes while each of them consumes an average current of only 3mA.
- Sana, S., & Matsumoto, M. (2007). A wireless sensor network protocol for disaster management. In Proceedings of the information, decision and control, pp. 209–213. Adelaide, Australia, Feb. 2007.
- Ning, X., Rangwala, S., Chintalapudi, K. K., Ganesan, D., Broad, A., Govindan, R., et al. (2004). A wireless sensor network for structural monitoring. In Proceedings of the 2nd international conference on embedded networked sensor systems, pp. 13–24. Baltimore, MD, USA.
- Kootkar, S., & Al-Ars, Z. (2007). Design and implementation of reliable wireless sensor networks: A case study in commuter trains. In Proceedings of ProRISC workshop, pp. 201–204. Veldhoven, Netherlands, Nov. 2007.
- Lundquist, J. D., Cayan, D. R., & Dettinger, M. D. (2003). Meteorology and hydrology in Yosemite national park: A sensor network application. In Proceedings of the 2nd international conference on information processing in sensor networks, pp. 518–528. Palo Alto, CA, USA.
- Akkaya, K., Younis, M. (2005) A survey on routing protocols for wireless sensor networks. Ad Hoc Networks 3: pp. 325-349 CrossRef
- Manjeshwar, A., & Agrawaly, D. P. (2002). APTEEN: A hybrid protocol for efficient routing and comprehensive information retrieval in wireless sensor networks. In Proceedings of the international parallel and distributed processing symposium (Vol. 2, pp. 0195b).
- Alippi, C., Camplani, R., Galperti, C., Roveri, M. (2011) A robust, adaptive, solar-powered WSN framework for aquatic environmental monitoring. IEEE Sensors Journal 11: pp. 45-55 CrossRef
- Ye, W., Heidemann, J., & Estrin, D. (2002). An energy-efficient MAC protocol for wireless sensor networks. In Proceedings of the IEEE INFOCOM (Vol. 3, pp. 1567–1576).
- Tilak, S., Abu-Ghazaleh, N. B., Heinzelman, W. (2002) A taxonomy of wireless microsensor network models. Mobile Computing and Communications Review 6: pp. 28-36 CrossRef
- Zhu, R., Zhou, Z. (2004) A real-time articulated human motion tracking using tri-axis inertial/magnetic sensors package. IEEE Transactions on Neural Systems and Rehabilitation Engineering 12: pp. 295-302 CrossRef
- Hanavan, E. P. (1964). A mathematical model of the human body. Aerospace medical research laboratory, wright-patterson air force base, OH, Technical Report TR-64-102.
- Huyghe, B., Doutreloigne, J., & Vanfleteren, J. (2009). 3D orientation tracking based on unscented Kalman filtering of accelerometer and magnetometer data. In Proceedings of the IEEE sensors applications symposium, pp. 148–152. New Orleans, LA, USA, Feb. 2009.
- ST Microelectronics, 3-axis - 2g/ 8g smart digital output “piccolo” accelerometer, LIS302DL. http://www.st.com/stonline/products/literature/ds/12726.pdf, Oct. 2008.
- Yamaha, Magnetic Field Sensor, YAS529. http://www.yamaha.co.jp/english/product/lsi/prod/pdf/sensor/BAS529A20.pdf, June 2006.
- Nordic Semiconductor, Single chip 2.4 GHz Transceiver, NRF2401. http://www.nordicsemi.no/files/Product/data_sheet/nRF2401rev1_1.pdf, June 2004.
- Texas Instruments, 16-bit Ultra-Low-Power Microcontroller, MSP430F249. http://focus.ti.com/general/docs/lit/getliterature.tsp?genericPartNumber=msp430f249&fileType=pdf, April 2009.
- Varta, Rechargeable Lithium Polymer, LPP423566. http://www.varta-microbattery.com/en/oempages/product_data/poductdata_types.php?output=typedata&segment=RechLiFlatPoly, Sep. 2008.
- Hyghe, B., Vanfleteren, J., & Doutreloigne, J. (2009). Design of flexible, low-power and wireless sensor nodes for human posture tracking aiding epileptic seizure detection. In Proceedings IEEE sensors, pp. 1963–1966. Christchurch, New Zealand, Oct. 2009.
- Christiaens, W., Vandevelde, B., & Vanfleteren, J. (2006). Ultra-thin chip package (UTCP) for flexible electronics applications. In Proceeding of IMAPS Nordic, pp. 7–11. Gothenburg, Sweden, Sep. 2006.
- A Wireless Sensor Network Protocol for an Inertial Motion Tracking System
Wireless Personal Communications
Volume 71, Issue 3 , pp 1961-1975
- Cover Date
- Print ISSN
- Online ISSN
- Springer US
- Additional Links
- Ad hoc networks
- Inertial sensors
- Wireless application protocol
- Industry Sectors