Modeling Wireless Sensor Network nodes using SystemC-AMS

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

doi:10.1109/icm.2007.4497660

Cited by 7 publications

(4 citation statements)

References 7 publications

(4 reference statements)

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“…SystemC-AMS has also been used to model and simulate WSNs. The focus is mainly on the transceiver circuits and communication [23,24,25]. The work in [7] describes the design methodology of the AMS part of embedded systems.…”

Section: Related Workmentioning

confidence: 99%

A hardware/software simulation environment for energy harvesting wireless sensor networks

Hormann

Glatz

Hein

et al. 2012

Proceedings of the 9th ACM Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks

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Wireless sensor networks (WSNs) consist of wirelessly communicating nodes with an autarkic power supply for each node. Typically, the consumable energy of these nodes is very limited. Energy harvesting systems (EHSs) can be used to extend the lifetime or even enable perpetual operation of the sensor nodes. Applicable energy-aware WSN protocols and applications usually raise the complexity such that rough calculations are not sufficient any more. Simulationbased analysis is needed to cope with the complexity of hardware/software interaction and its implications.This work presents a simulation environment which enables combined simulation and performance evaluation of complete WSNs including the sensor nodes' application software, the energy harvesting enhanced hardware, the wireless network communication, and the environment of the sensor nodes.

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Section: Related Workmentioning

confidence: 99%

A hardware/software simulation environment for energy harvesting wireless sensor networks

Hormann

Glatz

Hein

et al. 2012

Proceedings of the 9th ACM Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks

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show abstract

“…SystemC-AMS has also been used to model WSNs. However, the focus is mainly on the transceiver circuits and communication [17]- [19] and not on the power supply of nodes. The work presented in [20] describes a framework for testing different power-management approaches in WSNs implemented in SystemC.…”

Section: Related Workmentioning

confidence: 99%

State-of-charge measurement error simulation for power-aware wireless sensor networks

Hormann

Glatz

Hein

et al. 2012

2012 IEEE Wireless Communications and Networking Conference (WCNC)

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Wireless sensor networks (WSNs) are power critical systems, because they are used in application areas without wired infrastructure. Each sensor node needs a dedicated power supply. Today's protocols and applications for WSNs are often poweraware. However, the state-of-charge (SoC) estimation of the energy storage component (e.g. rechargeable battery) influences the decisions of the power-aware software. A measurement error may cause wrong decisions which would reduce the lifetime of the network. This work presents the simulation results of the impact of an SoC measurement error on the network lifetime running a simple and an enhanced power-aware WSN application. A simulation environment written in SystemC-AMS is used, which enables the combined simulation of the sensor node's application software and its hardware. The simulation shows a reduction of the network lifetime of 3.13% caused by an erroneous measurement. However, the enhanced software is able to increase the network lifetime by 1.66%.

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“…A SystemC-WMS description of all the components of the RF analog parts of a Bluetooth has been developed and integrated with the digital Bluetooth baseband layer [20]. The RF layer of a QPSK modulation and the analog channel has been modeled in [21][22] using SystemC-AMS. This description allows the design of SoC including wireless transceivers, design that is extremely complex due to the fact that design specifications on the analog and the digital parts are strictly correlated.…”

Section: Introductionmentioning

confidence: 99%