The miniaturization of electronic components and the evolution of wireless communication technolo... more The miniaturization of electronic components and the evolution of wireless communication technologies have stimulated the development and use of Wireless Sensor Networks (WSN) in various applications, such as environmental monitoring, seismic detection, military surveillance, inventory tracking and smart spaces, among others. In general, WSNs consist of battery operated small size sensors, which use wireless short range communication. Furthermore, these networks have severe energy consumption constraints, processing power, memory and bandwidth [1].
Despite the growing interest in cryptocurrencies, the delays incurred to confirm transactions are... more Despite the growing interest in cryptocurrencies, the delays incurred to confirm transactions are one of the factors that hamper the wide adoption of systems such as Bitcoin. Bitcoin transactions usually are confirmed in short periods (minutes), but still much larger than conventional credit card systems (seconds). In this work, we propose a framework encompassing machine learning and a queueing theory model to (i) identify which transactions will be confirmed; and (ii) characterize the confirmation time of confirmed transactions. The proposed queueing theory model accounts for factors such as the activity time of blocks and the mean time between transactions. We parameterize the model for transactions that are confirmed within minutes, suggesting that its integration into a more general framework is a step towards building scalability to Bitcoin.
The miniaturization of electronic components and the evolution of wireless communication technolo... more The miniaturization of electronic components and the evolution of wireless communication technologies have stimulated the development and use of Wireless Sensor Networks (WSN) in various applications, such as environmental monitoring, seismic detection, military surveillance, inventory tracking and smart spaces, among others. In general, WSNs consist of battery operated small size sensors, which use wireless short range communication. Furthermore, these networks have severe energy consumption constraints, processing power, memory and bandwidth [1].
Despite the growing interest in cryptocurrencies, the delays incurred to confirm transactions are... more Despite the growing interest in cryptocurrencies, the delays incurred to confirm transactions are one of the factors that hamper the wide adoption of systems such as Bitcoin. Bitcoin transactions usually are confirmed in short periods (minutes), but still much larger than conventional credit card systems (seconds). In this work, we propose a framework encompassing machine learning and a queueing theory model to (i) identify which transactions will be confirmed; and (ii) characterize the confirmation time of confirmed transactions. The proposed queueing theory model accounts for factors such as the activity time of blocks and the mean time between transactions. We parameterize the model for transactions that are confirmed within minutes, suggesting that its integration into a more general framework is a step towards building scalability to Bitcoin.
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