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Link quality estimation has been an active area of research within the wireless sensor network community. It is now well-known that the estimation of reliable links requires few sample packets - less than 10, while the estimation of unreliable links require many more - above 50. In scenarios where unreliable links are ubiquitous, and a rapid transfer of data is needed, traditional estimation techniques are not a viable option. In such scenarios, it is instead sufficient to identify the best link available at any given time. Within this context, the authors propose Link Quality Ranking (LQR), a mechanism that identifies the best link available when only unreliable links are present.
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