WSN  Vol.6 No.3 , March 2014
M-ary FSK Modulation Using Short Packet without a Preamble and Error Detection Codes for Low Power Wireless Communication
ABSTRACT
Since power of a wireless sensor node is limited, low power communication technology has been required. M-ary frequency shift keying (MFSK) modulation with orthogonal signals is one of the methods to decrease the power. However, if the amount of transmitted data including such as an identification number (ID) of a node and measured data is small, a ratio of the data length to the total packet length, which means transmission efficiency, becomes quite low. Because a preamble and error check codes are generally added to a packet for synchronization between a transmitter and a receiver and for decrease in reception errors, respectively. In this research, we have developed a method with digital filters which eliminates the other signals from time series frequency spectra not to use a preamble and error check codes. Although estimated synchronization loss of the method was less than 1.6 dB, it was found that the loss of the method on error packet rate was almost 0 dB at more than 0.001 of packet error rate by a simulation made by BASIC. These results indicate a possibility to realize that a packet which consists of only two symbols can be received with no error if the transmitted data is less than 14 bits using 128-FSK.

Cite this paper
Okada, H. and Itoh, T. (2014) M-ary FSK Modulation Using Short Packet without a Preamble and Error Detection Codes for Low Power Wireless Communication. Wireless Sensor Network, 6, 35-42. doi: 10.4236/wsn.2014.63005.
References
[1]   van de Ven, P., Feld, R., Bourke, A., Nelson, J. and Laighin, G.O. (2008) An Integrated Fall and Mobility Sensor and Wireless Health Signs Monitoring System. Proceedings of IEEE SENSORS 2008, Lecce Italy, 26-29 October 2008, 625-628.

[2]   Taylor, S.G., Farinholt, K.M., Flynn, E.B., Figueiredo, E., Mascarenas, D.L., Moro, E.A., Park, G., Todd, M.D. and Farrar, C.R. (2009) A Mobile-Agent-Based Wireless Sensing Network for Structural Monitoring Applications. Measurement Science & Technology, 20, 1-14. http://dx.doi.org/10.1088/0957-0233/20/4/045201

[3]   Hayes, J., Beirne, S., King-Tong, L. and Diamond, D. (2008) Evaluation of a Low Cost Wireless Chemical Sensor Network for Environmental Monitoring. Proceedings of IEEE SENSORS 2008, Lecce Italy, 26-29 October 2008, 530-538.

[4]   Brian, O. and Jan, R. (2007) Ultra-Low Power Wireless Technologies for Sensor Networks. Springer.

[5]   Bernard, S. (2013) Digital Communications Fundamentals and Applications. Prentice Hall.

[6]   Honda, M., Takei, Y., Ishizu, K., Imamoto, H., Itoh, T., Maeda, R., Matsumoto, K. and Shimoyama, I. (2012) Low-Power-Consumption CO2 Gas Sensor Using Ionic Liquids for Green Energy Management. Proceedings of IEEE Sensors 2012, Taipei, 28-31 October 2012, 745-748.

[7]   Fujimoto, J., Furusawa, S. and Suzuki, A. (2012) Power Monitoring Using Wireless Sensor Nodes as an Effective Contribution to Power Saving in Convenience Stores. Proceedings of Electronics Goes Green 2012, Berlin, 9-12 September 2012, 1-6.

[8]   Box, G.E.P. and Muller, M.E. (1958) A Note on the Generation of Random Normal Deviates. The Annals of Mathema- tical Statistics, 29, 610-611. http://dx.doi.org/10.1214/aoms/1177706645

 
 
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