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On-Line Learning and Prediction of Link Quality in Wireless Sensor Networks
2014 IEEE Global Communications Conference, 2014 Communication between sensor nodes in a Wireless Sensor Network (WSN) faces energy and bandwidth constraints. The dynamic behavior over time of the wireless channels makes ephemeral the neighborhood relation between sensors. Link quality estimation is critical for many WSN applications because it drastically influences the success of transmissions.
Pascale Minet
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Data-Driven Link Quality Prediction Using Link Features
ACM Transactions on Sensor Networks, 2014As an integral part of reliable communication in wireless networks, effective link estimation is essential for routing protocols. However, due to the dynamic nature of wireless channels, accurate link quality estimation remains a challenging task. In this article, we propose 4C, a novel link estimator that applies link quality prediction along with ...
Alberto Cerpa
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Link Quality Prediction in Mesh Networks
Computer Communications, 2008Wireless self-organizing networks such as mesh networks strive hard to get rid of mobility and radio propagation effects. Links - the basic elements ensuring connectivity in wireless networks - are impacted first from them. But what happens if one could mitigate these effects by forecasting the links' future states?
Sajal K. Das +2 more
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Estimating and predicting link quality in wireless IoT networks
Annals of Telecommunications, 2021The use of poor-quality links in Internet of Things (IoT) networks leads to a bad quality of experience (QoE) with long delivery delays, low reliability, short lifetime of battery-operated nodes, to name but a few. In addition, network resources, such as bandwidth and node energy, are wasted by retransmissions.
Miguel Landry Foko Sindjoung +1 more
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Temporal Adaptive Link Quality Prediction With Online Learning
ACM Transactions on Sensor Networks, 2014Link quality estimation is a fundamental component of the low-power wireless network protocols and is essential for routing protocols in Wireless Sensor Networks (WSNs). However, accurate link quality estimation remains a challenging task due to the notoriously dynamic and unpredictable wireless environment.
Alberto Cerpa
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802.11 Link Quality and Its Prediction – An Experimental Study [PDF]
Lecture Notes in Computer Science, 2004 Reliable link quality prediction is an imperative for the efficient operation of mobile ad-hoc wireless networks (MANETs). In this paper it is shown that popular link quality prediction algorithms for 802.11 MANETs perform much more poorly when applied in real urban environments than they do in corresponding simulations.
Vinny Cahill
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Efficient Link Quality Prediction for OFDM Systems
2012 IEEE 75th Vehicular Technology Conference (VTC Spring), 2012This paper presents an efficient link quality prediction method for OFDM systems. It is based on effective SINR mapping (ESM) approach. Being different from conventional ESM methods, the novel scheme employs constrained linear averaging to multiple instantaneous channel indicators. Its computation complexity is lower than conventional ones.
Xiaoqin Wang, Xin Wang 0133
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Online Learning Framework for V2V Link Quality Prediction
2019 IEEE Global Communications Conference (GLOBECOM), 2019To meet the Quality-of-Service (QoS) requirements of vehicular applications, some knowledge of future wireless channel statistics is essential. We address the problem of predicting channel quality between vehicles in terms of path loss which, exhibits strong fluctuations over time due to highly dynamic vehicular environment.
Panthangi M. Ramya +3 more
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Wavelet Neural Network Based Link Quality Prediction for Fluctuating Low Power Wireless Links
2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS), 2021Low power wireless links are prone to fluctuate when the channel environment changes. In order to reduce the impact of link fluctuations on data transmission, it is necessary to predict the link quality quickly and accurately and make dynamic adjustments according to prediction results.
Yu Xia, Wei Liu
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Real-time prediction of communication link quality for V2V applications
2014 International Conference on Connected Vehicles and Expo (ICCVE), 2014In this paper we address prediction of the communication link quality for Vehicle-to-Vehicle (V2V) applications. We focus on the prediction at the receiver vehicle and suggest two novel frameworks, which allow real-time and short-term prediction whether a predefined application-specific QoS will be maintained in the near future.
Tetiana Zinchenko +3 more
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