Abstract
In the packet access of wireless sensor networks, a distributed access protocol is employed to avoid packet collision but it also causes delay. Therefore, real time data collection is difficult. In wireless communication for simultaneous multidata collection (WC-SDC), sensed data are projected onto the parameters of the wireless communication. The specific feature of the sensed data appears in received signals. Even if the transmitted signal from each sensor collides by simultaneous access, the mixture sensed can be separated by using the specific features. Therefore, the real time data collection is achieved. However, frequency mismatch causes the fluctuation of sensed data, which gives the adverse impact to data separation. In this paper, a data tracking method is used for the data separation in the WC-SDC. We clarify the accuracy of data separation and the impact from the frequency offset. We propose a method for coping with the frequency offset and the error tracking. From the numerical results, our proposed method accurately achieves data separation even under 7% frequency offset normalized by the minimum frequency resolution.
Highlights
Wireless sensor networks (WSN) can construct a new life style
This paper considers that single fusion center (FC) collects the sensed data from all the sensors by wireless communication
This paper evaluated the accuracy of data separation by Kalman filter in the wireless sensor networks for the simultaneous multidata collection
Summary
Wireless sensor networks (WSN) can construct a new life style. WSN and the Machine to Machine (M2M) communication have attracted much attention [1]. Instead of the packet access, a novel wireless communication method for real time data collection is necessary. International Journal of Distributed Sensor Networks access the fusion center, each signal projected by the sensed data could be detected separately, due to the independency of the sensed data. Since the WC-SDC can collect the multiple signals from sensor, instantaneously, the fusion center and the sensor node can work for a short time in LPL MAC protocol. A tracking technique, such as Kalman filtering [8], which is used for detecting the temporal continuity, can decompose each piece of sensed data from the signal transmitted by the WC-SDC. If the decision threshold is so high that the noisy components caused by frequency offset cannot be detected, the image data do not appear and the sensitivity to the weak power signals is degraded.
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