On Biased Link Sampling in Datadriven Link Estimation and Routing in Lowpower Wireless Networks

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Executive Summary

The wireless network community has become increasingly aware of the benefits of data-driven link estimation and routing as compared with beacon-based approaches, but the issue of Biased Link Sampling (BLS) has not been well studied even though it affects routing convergence in the presence of network and environment dynamics. Focusing on traffic-induced dynamics, the authors examine the open, unexplored question of how serious the BLS issue is and how to effectively address it when the routing metric ETX is used.

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