CIL: Intermediate Language and Tools for Analysis and Transformation of C Programs
CC '02 Proceedings of the 11th International Conference on Compiler Construction
Transaction level modeling: an overview
Proceedings of the 1st IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis
Simulating the power consumption of large-scale sensor network applications
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Contiki - A Lightweight and Flexible Operating System for Tiny Networked Sensors
LCN '04 Proceedings of the 29th Annual IEEE International Conference on Local Computer Networks
Accurate prediction of power consumption in sensor networks
EmNets '05 Proceedings of the 2nd IEEE workshop on Embedded Networked Sensors
Castalia: revealing pitfalls in designing distributed algorithms in WSN
Proceedings of the 5th international conference on Embedded networked sensor systems
Proceedings of the workshop on Real-world wireless sensor networks
Accurate Network-Scale Power Profiling for Sensor Network Simulators
EWSN '09 Proceedings of the 6th European Conference on Wireless Sensor Networks
An efficient approach for system-level timing simulation of compiler-optimized embedded software
Proceedings of the 46th Annual Design Automation Conference
Accurate power-aware simulation of wireless sensor networks considering real-life application code
Proceedings of the 13th ACM international conference on Modeling, analysis, and simulation of wireless and mobile systems
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After a decade of research in the field of wireless sensor networks the energy consumption remains the dominating constraint. Complex algorithms with non-negligible runtimes must be processed by resource-limited nodes, and therefore require in-depth knowledge of the temporal behavior of the software and hardware components. However, state-of-the-art simulators provide either accuracy or scalability and therefore somehow limit the development of such networks. We present a novel and unique methodology for energy-aware, time-accurate, and scalable simulation of wireless sensor networks that considers software, hardware, and network components. Algorithms implemented in C are annotated with binary runtime information and are executed natively on the host cpu, i.e., the cpu where the simulation is run. Arbitrary hardware can be modeled at various levels of abstraction and is simulated together with the software. Important effects such as interrupt processing are simulated accurately. As a proof of concept we implemented the proposed methodology and present STEAM-Sim, a novel simulation environment. We evaluated STEAM-Sim by means of a proprietary networking scenario typically used in industrial wireless sensor networks. Preliminary results regarding scalability and accuracy are presented.