A SystemC-based framework for modeling and simulation of networked embedded systems

Fummi, Franco; Quaglia, Davide; Stefanni, Francesco

doi:10.1109/fdl.2008.4641420

Cited by 46 publications

(27 citation statements)

References 9 publications

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“…However, the network simulators are dedicated to model the network. It may be not the best way to model the node system since they are normally incapable to model the concurrency within the node and provide a direct path to HW/SW synthesis [33]. The energy consumption is usually based on some assumptions or estimations of the software execution, for example, the processor and RF transceiver of a sensor node have the same operating state, but in fact the processor can be in sleep mode when the RF transceiver is listening to the channel and woken up by the RF transceiver when the latter receives a packet.…”

Section: Network Simulators With Node Modelsmentioning

confidence: 99%

“…Fummi et al [69] have developed an energy-aware simulator by integrating an ISS of the node's microcontroller and a functional SystemC model of the network module on SCNSL [33]. SCNSL is a networked embedded system simulator, which will be introduced in the 'Node system simulator with network models' section.…”

Section: Node Emulators With Network Modelsmentioning

confidence: 99%

“…Besides adding node models to the network simulators, we can also model the network in the node system design tools (e.g., SCNSL [33]) or in the node emulator (e.g., Avrora [34]). Therefore, as illustrated in Figure 2, the existing efforts in WSN evaluation can be divided into four categories: network simulators with node models (NSNM), network simulators with node emulators (NSNE), node system simulator with network models (NSSNM), and node emulators with network models (NENM).…”

Section: Taxonomy On Wsn Simulation Toolsmentioning

confidence: 99%

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Modeling and simulation of networked low-power embedded systems: a taxonomy

Mieyeville

Navarro

et al. 2014

J Wireless Com Network

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Simulation has been widely adopted for the evaluation of novel protocols or other designs for networked low-power embedded systems, especially for wireless sensor networks (WSNs). A large number of simulation tools have been developed for WSNs in the past few years. However, different tools may emphasize on different features. For example, general network simulators mainly focus on the high-level performance evaluation with certain assumptions, while some SystemC-based simulators have been developed recently to realize the hardware and software co-design of sensor node at the system level. Therefore, it is necessary to study the different modeling methodologies and to distinguish the various features of the existing WSN simulators. In this paper, we propose a taxonomy that categorizes the existing simulation tools into four groups, i.e., network simulators with node models, network simulators with node emulators, node system simulator with network models, and node emulators with network models. To demonstrate the rationality and usability of the proposed taxonomy, we use it to conduct a survey of the existing simulation tools. This study is intended to be comprehensive to cover all important simulation tools.

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Section: Network Simulators With Node Modelsmentioning

confidence: 99%

Section: Node Emulators With Network Modelsmentioning

confidence: 99%

Section: Taxonomy On Wsn Simulation Toolsmentioning

confidence: 99%

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Modeling and simulation of networked low-power embedded systems: a taxonomy

Mieyeville

Navarro

et al. 2014

J Wireless Com Network

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“…Some basic primitives for environment description and mobility are provided in PASES, but currently they are not sufficient for effective RTLS modeling. Another drawback is a very simple wireless channel model, which is based on the SCNSL library [35] and supports only basic collision mechanisms.…”

Section: State Of the Art In Rtls Designmentioning

confidence: 99%

“…Features like SNR calculation, changing modulation type or encoding are missing. Also the wireless channel model, which is based on SystemC Network Simulation Library (SCNSL) [35] is very simplistic. It provides a simple collision mechanism and signal attenuation calculation.…”

mentioning

confidence: 99%