Wireless sensor networks are commonly used to collect observations of real-world phenomena at regular time intervals. Sensor nodes rely on limited power sources, and some studies indicate that the main source of energy consumption is related to data transmissions. In this paper, we propose an approach to reduce data transmissions in sensor nodes based on data dispersion analysis. This approach aims to avoid transmitting measurements whose values present low dispersion while keeping low CPU utilization rate. Performance evaluation results obtained by the Castalia simulator confirm that the results were promising in reducing data transmissions while maintaining significantly low processing time, data accuracy and low energy consumption.

中文翻译：

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基于色散分析的传感器网络数据约简

无线传感器网络通常用于定期收集对现实世界现象的观察。传感器节点依赖有限的电源，一些研究表明能源消耗的主要来源与数据传输有关。在本文中，我们提出了一种基于数据分散分析来减少传感器节点中数据传输的方法。这种方法旨在避免传输其值呈现低分散性的测量值，同时保持低 CPU 利用率。Castalia 模拟器获得的性能评估结果证实，结果在减少数据传输方面很有希望，同时保持极短的处理时间、数据准确性和低能耗。