Demo abstract: RadiaLE: a framework for benchmarking link quality estimators

Link quality estimation is a fundamental building block for the design of several different mechanisms and protocols in wireless sensor networks (WSN). A thorough experimental evaluation of link quality estimators (LQEs) is thus mandatory. Several WSN experimental testbeds have been designed ([1–4])...

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Bibliographic Details
Main Author: Baccour, Nouha (author)
Other Authors: Jamâa, Maissa Ben (author), Rosário, Denis do (author), Koubâa, Anis (author), Alves, Mário (author), Becker, Leandro B. (author), Youssef, Habib (author), Fotouhi, Hossein (author)
Format: report
Language:eng
Published: 2014
Online Access:http://hdl.handle.net/10400.22/3902
Country:Portugal
Oai:oai:recipp.ipp.pt:10400.22/3902
Description
Summary:Link quality estimation is a fundamental building block for the design of several different mechanisms and protocols in wireless sensor networks (WSN). A thorough experimental evaluation of link quality estimators (LQEs) is thus mandatory. Several WSN experimental testbeds have been designed ([1–4]) but only [3] and [2] targeted link quality measurements. However, these were exploited for analyzing low-power links characteristics rather than the performance of LQEs. Despite its importance, the experimental performance evaluation of LQEs remains an open problem, mainly due to the difficulty to provide a quantitative evaluation of their accuracy. This motivated us to build a benchmarking testbed for LQE - RadiaLE, which we present here as a demo. It includes (i.) hardware components that represent the WSN under test and (ii.) a software tool for the set up and control of the experiments and also for analyzing the collected data, allowing for LQEs evaluation.