Source-level execution time estimation of C programs
Proceedings of the ninth international symposium on Hardware/software codesign
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
Heterogeneous Co-Simulation of Networked Embedded Systems
Proceedings of the conference on Design, automation and test in Europe - Volume 3
Software/Network Co-Simulation of Heterogeneous Industrial Networks Architectures
ICCD '04 Proceedings of the IEEE International Conference on Computer Design
Timed HW-SW cosimulation using native execution of OS and application SW
HLDVT '02 Proceedings of the Seventh IEEE International High-Level Design Validation and Test Workshop
Comparative Study of Wireless Network Simulators
ICN '08 Proceedings of the Seventh International Conference on Networking
A network and system level approach towards an accurate simulation of WSNs
EUROCAST'11 Proceedings of the 13th international conference on Computer Aided Systems Theory - Volume Part II
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We present a methodology and a toolset for power aware HW/SW co-simulation including real-life application code at network level. The toolset consists of the known OMNeT++ network simulation environment and the PAWiS framework, which was extended to include time-annotated and natively executing C code, and allows detailed analysis of the power consumption of single modules in the network. In conjunction with the support of interrupt handling, this especially addresses the needs of applications running on nodes of wireless sensor networks (WSNs). The presented partitioning of the application into platform-dependent and platform-independent SW layers provides easy porting of the simulated code to real sensor nodes. Therefore the established simulation environment supports the development, implementation and verification of energy optimized protocols for real-time industrial applications using WSNs. To demonstrate the functionality of this approach, the methodology was applied to a simple real-world networking test scenario and the achieved simulation results are compared to real-world measurements.