Modeling heterogeneous systems using SystemC-AMS case study: A Wireless Sensor Network Node

Vasilevski, Michel; Pêcheux, François; Aboushady, Hassan; Lamarre, L.

doi:10.1109/bmas.2007.4437517

Cited by 19 publications

(9 citation statements)

References 7 publications

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“…Two classes of methods have been proposed to find an appropriate solution to equation However, these frameworks have some disadvantages in terms of interoperability and simulation performances when dealing with a system like WBSN [8]. The format of packets exchanged between the TX and RX modules is described in Fig.…”

Section: B Recovery Processmentioning

confidence: 99%

SystemC-AMS based virtual prototyping of wireless body sensor network using compressed sensing

Ravelomanantsoa

Rabah

Rouane

2013

2013 25th International Conference on Microelectronics (ICM)

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Compressed sensing (CS) is applied in wireless body sensor network (WBSN) to reduce the data rate and minimize the power consumption of the sensor nodes. However, as the CS encoder and decoder are tightly coupled, a model of the overall acquisition chain is required in the first stages of development and validation. To overcome this issue, we propose a virtual prototyping of WBSN based on CS with SystemC AMS 1.0. The proposed model consists of three sensor nodes which capture electrocardiogram (ECG), electromyogram (EMG) and respiration (RESP) signals. The proposed virtual prototype had allowed a functional verification of WBSN at system level and a rapid exploration of the impact of compression ratio on the quality of reconstruction. Results show how to tailor the measurement matrix for a best tradeoff between the compression ratio, the quality of reconstruction, and the energy consumption.

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Section: B Recovery Processmentioning

confidence: 99%

SystemC-AMS based virtual prototyping of wireless body sensor network using compressed sensing

Ravelomanantsoa

Rabah

Rouane

2013

2013 25th International Conference on Microelectronics (ICM)

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“…At the BMAS2007 conference was presented an advanced example of use of this plateform for modeling a RF sensor network node, which included a sensor block, a microprocessor bloc and RF blocks [6].…”

Section: Introductionmentioning

confidence: 99%

SystemC-AMS Heterogeneous Modeling of a Capacitive Harvester of Vibration Energy

Caluwaerts

Galayko

Basset

2008

2008 IEEE International Behavioral Modeling and Simulation Workshop

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This paper presents the results of modeling of a mixed nonlinear, strongly coupled and multidomain electromechanical system designed to scavenge the energy of ambient vibrations and to generate an electrical supply for an embedded microsystem. The system is operating in three domains: purely mechanical (the resonator), coupled electromechanical (electrostatic transducer associated with the moving mass) and electrical circuit, including switches, diodes and linear electrical components. Although only linear networks can be properly modeled in SystemC-AMS, we propose a technique allowing modeling of electrical networks including non-linear components (diodes) as well as time-varying capacitors. The whole system was modeled using two solvers of SystemC-AMS simultaneously: the one allowing TDF (Timed Data Flow) modeling and the one allowing LIN ELEC (linear electrical) circuit analysis. The modeling results are compared with VHDL-AMS and Matlab Simulink models.

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“…Figure 8 shows the perfect match between simulation and theorical results. This analysis has been extended in [16] to transceiver impairments. …”

Section: E Simulated Platformmentioning

confidence: 99%

“…To pragmatically experiment the capabilities of the SystemC-AMS library, the ADC that converts the analog measure coming from the sensor into its digital equivalent has been implemented as a second order sigma-delta 1-bit modulator with return-to-zero feedback [14], and a decimator using a third order FIR2 [15], that can be parameterized to generate a n-bit word, as shown in the theoretical figure 5 [16]. The boxes presented in figure 5 are all SystemC-AMS synchronous dataflow modules and belong to the ADC cluster of figure 2.…”

Section: B A/d Convertermentioning

confidence: 99%

Modeling and Refining Heterogeneous Systems With SystemC-AMS: Application to WSN

Vasilevski¹,

Pecheux²,

Beilleau³

et al. 2008

2008 Design, Automation and Test in Europe

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Modeling heterogeneous systems using SystemC-AMS case study: A Wireless Sensor Network Node

Cited by 19 publications

References 7 publications

SystemC-AMS based virtual prototyping of wireless body sensor network using compressed sensing

SystemC-AMS based virtual prototyping of wireless body sensor network using compressed sensing

SystemC-AMS Heterogeneous Modeling of a Capacitive Harvester of Vibration Energy

Modeling and Refining Heterogeneous Systems With SystemC-AMS: Application to WSN

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