Quantifying the channel quality for interference-aware wireless sensor networks

Reliability of communications is key to expand application domains for sensor networks. SinceWireless Sensor Networks (WSN) operate in the license-free Industrial Scientific and Medical (ISM) bands and hence share the spectrum with other wireless technologies, addressing interference is an important challenge. In order to minimize its effect, nodes can dynamically adapt radio resources provided information about current spectrum usage is available. We present a new channel quality metric, based on availability of the channel over time, which meaningfully quantifies spectrum usage. We discuss the optimum scanning time for capturing the channel condition while maintaining energy-efficiency. Using data collected from a number of Wi-Fi networks operating in a library building, we show that our metric has strong correlation with the Packet Reception Rate (PRR). This suggests that quantifying interference in the channel can help in adapting resources for better reliability. We present a discussion of the usage of our metric for various resource allocation and adaptation strategies.

F-LQE: a Fuzzy Link Quality Estimator for wireless sensor networks

Radio Link Quality Estimation (LQE) is a fundamental building block for Wireless Sensor Networks, namely for a reliable deployment, resource management and routing. Existing LQEs (e.g. PRR, ETX, Fourbit, and LQI ) are based on a single link property, thus leading to inaccurate estimation. In this paper, we propose F-LQE, that estimates link quality on the basis of four link quality properties: packet delivery, asymmetry, stability, and channel quality. Each of these properties is defined in linguistic terms, the natural language of Fuzzy Logic. The overall quality of the link is specified as a fuzzy rule whose evaluation returns the membership of the link in the fuzzy subset of good links. Values of the membership function are smoothed using EWMA filter to improve stability. An extensive experimental analysis shows that F-LQE outperforms existing estimators.

Reliable link quality estimation in low-power wireless networks and its impact on tree-routing

Radio link quality estimation is essential for protocols and mechanisms such as routing, mobility management and localization, particularly for low-power wireless networks such as wireless sensor networks. Commodity Link Quality Estimators (LQEs), e.g. PRR, RNP, ETX, four-bit and RSSI, can only provide a partial characterization of links as they ignore several link properties such as channel quality and stability. In this paper, we propose F-LQE (Fuzzy Link Quality Estimator, a holistic metric that estimates link quality on the basis of four link quality properties—packet delivery, asymmetry, stability, and channel quality—that are expressed and combined using Fuzzy Logic. We demonstrate through an extensive experimental analysis that F-LQE is more reliable than existing estimators (e.g., PRR, WMEWMA, ETX, RNP, and four-bit) as it provides a finer grain link classification. It is also more stable as it has lower coefficient of variation of link estimates. Importantly, we evaluate the impact of F-LQE on the performance of tree routing, specifically the CTP (Collection Tree Protocol). For this purpose, we adapted F-LQE to build a new routing metric for CTP, which we dubbed as F-LQE/RM. Extensive experimental results obtained with state-of-the-art widely used test-beds show that F-LQE/RM improves significantly CTP routing performance over four-bit (the default LQE of CTP) and ETX (another popular LQE). F-LQE/RM improves the end-to-end packet delivery by up to 16%, reduces the number of packet retransmissions by up to 32%, reduces the Hop count by up to 4%, and improves the topology stability by up to 47%.

Efeitos de um Programa de Reabilitação Respiratória em Indivíduos Operados a Cancro do Pulmão

O tratamento cirúrgico e os tratamentos coadjuvantes do cancro do pulmão de não pequenas células (CPNPC), como a quimioterapia, afetam negativamente a saúde física e psicológica dos pacientes. Um programa de reabilitação respiratória (PRR) pode ajudar no controlo de sintomas, melhorar a capacidade funcional e a qualidade de vida desta população. Objetivo: verificar a influência de um programa de reabilitação respiratória composto por fisioterapia torácica, treino aeróbio, treino de força e educação para a saúde, em parâmetros como a qualidade de vida, a ansiedade e depressão, a dispneia, a capacidade funcional para realizar exercício e a força muscular, em 6 doentes operados a CPNPC. Métodos: estudo retrospetivo, do tipo série de estudos de caso, que incluiu 6 casos clínicos. As medidas de resultados utilizadas foram: qualidade de vida; dispneia; ansiedade e depressão; capacidade funcional para a marcha; e força muscular. Resultados: no final do PRR, os 6 participantes apresentaram melhoria nos níveis de qualidade de vida, uma diminuição nos valores de ansiedade e depressão e um grau de dispneia inferior ao avaliado inicialmente. Foi ainda verificado um aumento da capacidade funcional para o exercício e da força muscular em todos os casos clínicos. Conclusão: O PRR pareceu produzir efeitos positivos na diminuição dos sintomas, assim como melhorou a qualidade de vida, a capacidade funcional para a marcha e a força muscular dos 6 participantes.