Boreas: Efficient Synchronization for Scalable Emulation of Sensor Networks

Sauter, Robert; Figura, Richard; Saukh, Olga; Marrón, Pedro José

doi:10.1109/mass.2011.53

Cited by 1 publication

(1 citation statement)

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“…PolarLite enhances the Avrora emulator with an optimization that takes the sleep times into account [9] and with support for using software state from the TinyOS 1.x MAC protocol at runtime to compute bigger lookaheads [10]. With Boreas [19], we investigated alternative synchronization methods. Both approaches focus on improving the parallelism of the simulation and are largely orthogonal to our approach of improving the speed of simulating one node with binary-to-source translation.…”

Section: Related Workmentioning

confidence: 99%

Notos: Efficient Emulation of Wireless Sensor Networks with Binary-to-Source Translation

Sauter

Jungen

Figura

et al. 2015

Proceedings of the Eighth EAI International Conference on Simulation Tools and Techniques

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Developing for wireless sensor networks is a challenging task due to the severe resource constraints of the devices, the uncertainties of the environment, and the distributed nature of the system. Therefore, simulation is an essential tool for developing systems and for evaluating and comparing protocols at scale in a reproducible manner. Cycle-accurate emulation of sensor networks allows the execution of platform target code and provides deep insight into the behavior of the overall system including the important aspect of energy consumption. However, the required fidelity incurs a significant overhead and limits the size of the emulated networks considerably. We investigate the use of binary-tosource translation, where the machine code of an executable for the target platform is transformed to source code for the host platform and compiled as part of the emulator. Additionally, as part of this transformation we perform static analysis and optimize the generated code. We have implemented our approach based on the well-established emulator Avrora and show in our evaluation that this approach can lead to significantly higher simulation speeds.

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Section: Related Workmentioning

confidence: 99%