Felix Jonathan Oppermann
ABSTRACT
Experiments under controlled radio interference are crucial to assess the robustness of low-power wireless protocols. While tools such as JamLab augment existing sensornet testbeds with realistic interference, it remains an error-prone and time-consuming task to manually select the set of nodes acting as jammers and their individual transmit powers. We present an automated configuration approach based on simulated annealing to overcome this problem. A preliminary evaluation based on two testbeds shows that our approach can find near-optimal solutions within at most a few hours. We believe our approach can facilitate the widespread adoption of controlled interference experiments by the sensornet community.
- C. A. Boano, T. Voigt, C. Noda, K. Römer, and M. A. Zúñiga. JamLab: Augmenting sensornet testbeds with realistic and controlled interference generation. In Proc. of the 10th IPSN Conference, Apr. 2011.Google Scholar
- F. Lemić et al. Demo: Testbed infrastructure for benchmarking rf-based indoor localization solutions under controlled interference. In Proc. of the 11th EWSN Conference, Feb. 2014.Google Scholar
- V. Handziski, A. Köpke, A. Willig, and A. Wolisz. TWIST: a scalable and reconfigurable testbed for wireless indoor experiments with sensor networks. In Proc. of the 2nd REALMAN Workshop, May 2006. Google ScholarDigital Library
- J. Slipp et al. WINTeR: Architecture and applications of a wireless industrial sensor network testbed for radio-harsh environments. In Proc. of the 6th CNSR Conference, May 2008. Google ScholarDigital Library
- M. Doddavenkatappa et al. Indriya: A low-cost, 3d wireless sensor network testbed. In Proc. of the 7th TridentCom Conference, Apr. 2011.Google Scholar
Index Terms
- Automatic configuration of controlled interference experiments in sensornet testbeds
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