Characterization of a low consumption wireless sensor node for the intensive transmission of physiological signals

Abstract

<span>This paper describes the development and implementation of low power consumption wireless sensor nodes for the periodic monitoring of physiological signals with intensive data transmission, using Wi-Fi and ZigBee wireless communication modules, obtaining operation characteristics from the energy point of view that allow to increase the life time of the sensor node. The sensor nodes are designed and built using low energy consumption electronic devices to evaluate their energy performance using current data, transmission time, data transmission period and the relationship with the sensor node's lifetime when transmitting electrocardiographic (ECG), temperature and pulse type physiological signals. The development of this work generates recommendations for the design, development and construction of sensor nodes where the energy consumption of the wireless communication modules is evaluated. In this way, results are obtained that can allow the data transmission period, current consumption and size of data sent to be related to the operating time, defining the operating conditions and wireless technologies that allow the optimization of energy consumption when data is sent to Internet monitoring applications.</span>

Edge device for movement pattern classification using neural network algorithms

“…In this research, frameworks from different manufacturers are evaluated, but a comparison is not made with manual implementations and in devices with lesser computational resources and low cost. In this context, solutions can be created to bring computational capacity closer to the edge of the network to avoid data transmission to the cloud for processing and alleviate critical problems related to latency [14], energy consumption [15], bandwidth and scalability [16]. Furthermore, the integration with artificial intelligence empowers machines with human-like intelligence and includes knowledge-based perception and decision-making capabilities [17].…”