Abstract
A new generation of ubiquitous computing systems integrates a variety of mobile devices on the user’s body resulting in the necessity of wireless body sensor networks (WBSN). The goal of this chapter is to characterize the transmission error condition of the WBSN and to find a suitable measurement algorithm for sensor devices of a wireless intelligent sensor network (WISE). A novel error measurement scheme is proposed that delivers very accurate results and can be implemented on small wireless sensors because of the simplicity, using timer interrupts of the microcontrollers. Then the transmission error characterization of the WBSN is analyzed based on the measurement results. Our environment provided more accurate measurements than the existing high-level solutions. According to our measurements, human body attenuation and the sensor movement degraded the error condition almost an order of magnitude.
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References
Kashyap, A., Ganguly, S., and Das, S. R.: A measurement-based approach to modeling link capacity in 802.11-based wireless networks. In: MobiCom, pp. 120–131. IEEE Press, New York (2007).
Wilde, A. and Fiebig, U.C.: Bit Error Rate Estimation for Low Rate Services in a Mobile Radio Environment. In: 5th IEEE International Symposium of Personal, Indoor and Mobile Radio Communications, pp. 816–820 (2002).
Chia, S. T. S. and Baran, A.: 900 MHz Attenuation And Bit Error Ratio Measurement Inside A Modern Office Building. In: Fifth International Conference of Mobile Radio and Personal Communications, pp. 33–37. IEEE Press, Boston (2004).
Son, D., Krishnamachari, B., and Heidemann, J.: Experimental study of concurrent transmission in wireless sensor networks. in: Proc. ACM SenSys, pp. 237–250, ACM Press, San Francisco (2003).
Bicket, J., Aguayo, D., Biswas, S., Morris R.: Architecture and evaluation of an unplanned 802.11b mesh network. In: Proceedings of the 11th annual international conference on Mobile computing and networking, pp. 452–463, ACM Press, Cologne, Germany (2005).
Jain, K., Padhye, J., Venkata N.: Impact of interference on multi-hop wireless network performance, In: Proceedings of the 9th annual international conference on Mobile
Jeongkeun, L., Wonho, K., Sung, J., Daehyung, J., Jiho, R.: An experimental study on the capture effect in 802.11a networks. In: Proceedings of the the second ACM international workshop on Wireless network testbeds, experimental evaluation and characterization, pp. 412–423. ACM Press, Montreal (2007).
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Bin, Z., Rui, W., HaiQing, L. (2012). Performance Measurement of Wireless Body Sensor Networks. In: Chen, R. (eds) 2011 International Conference in Electrics, Communication and Automatic Control Proceedings. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-8849-2_45
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DOI: https://doi.org/10.1007/978-1-4419-8849-2_45
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