Modeling and Simulation of Wireless Passive Sensors Based on Surface Acoustic Wave Delay Lines
ABSTRACT The coupling-of-mode (COM) model of the interdigital transducer (IDT) is modeled by deriving and solving the COM equations which considered the voltage and resistance of the IDT finger electrodes. In addition, zero input and zero state solutions are added as the solution of the COM matrix equations. According to the IDT model and the reflectance of the reflector, the surface acoustic wave (SAW) delay line is modeled, and the wireless passive sensor based on SAW delay lines is modeled and simulated. The COM model of the wireless passive sensor can simulate the delay phase variation with the pressure well, and it can be used as an effective tool for designing and analyzing the sensors based on SAW delay lines.
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ABSTRACT: In this paper, we present the passive wireless sensor network based on the surface acoustic wave(SAW) resonators. The sensor node consists of the SAW sensor that is small, light, reliable, stable, sensitive, wireless and passive, so the battery is needless and its life-span is infinite. The sink node gathers data from the sensor nodes, processes the data with intelligent algorithms and transmits the needed data to the exterior network timely. The basic structure and the realization of the passive wireless sensor network are elaborated. The five main characteristics of the passive wireless sensor network, that is passive sensor nodes, simple and small sensor nodes, organized sensor nodes, intelligent sink nodes, high security, good extendibility, are explained concretely. Specially, the key techniques in our research, such as coding and decoding techniques of the sensor node, signal frequency measurement techniques of the sensor node, intelligent signal processing techniques, measurement error compensation techniques and network security techniques, are discussed exhaustively. In the end, we point out the problems at present and forecast the application prospect and research direction in the future.Networking, Sensing and Control, 2008. ICNSC 2008. IEEE International Conference on; 05/2008