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首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >Smart Buildings IoT Networks Accuracy Evolution Prediction to Improve Their Reliability Using a Lotka–Volterra Ecosystem Model
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Smart Buildings IoT Networks Accuracy Evolution Prediction to Improve Their Reliability Using a Lotka–Volterra Ecosystem Model

机译：使用Lotka–Volterra生态系统模型提高智能建筑物联网网络的精度发展预测以提高其可靠性

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摘要

Internet of Things (IoT) is the paradigm that has largely contributed to the development of smart buildings in our society. This technology makes it possible to monitor all aspects of the smart building and to improve its operation. One of the main challenges encountered by IoT networks is that the the data they collect may be unreliable since IoT devices can lose accuracy for several reasons (sensor wear, sensor aging, poorly constructed buildings, etc.). The aim of our work is to study the evolution of IoT networks over time in smart buildings. The hypothesis we have tested is that, by amplifying the Lotka–Volterra equations as a community of living organisms (an ecosystem model), the reliability of the system and its components can be predicted. This model comprises a set of differential equations that describe the relationship between an IoT network and multiple IoT devices. Based on the Lotka–Volterra model, in this article, we propose a model in which the predators are the non-precision IoT devices and the prey are the precision IoT devices. Furthermore, a third species is introduced, the maintenance staff, which will impact the interaction between both species, helping the prey to survive within the ecosystem. This is the first Lotka–Volterra model that is applied in the field of IoT. Our work establishes a proof of concept in the field and opens a wide spectrum of applications for biology models to be applied in IoT.
机译：物联网（IoT）是为我们社会的智能建筑发展做出巨大贡献的范例。这项技术可以监视智能建筑的各个方面并改善其运行。物联网网络面临的主要挑战之一是，由于物联网设备可能由于多种原因（传感器磨损，传感器老化，建筑不良等）而失去准确性，因此它们收集的数据可能不可靠。我们的工作目的是研究智能建筑中物联网网络随时间的演变。我们已经检验的假设是，通过放大Lotka–Volterra方程作为活生物体（生态系统模型），可以预测系统及其组件的可靠性。该模型包括一组微分方程，描述了物联网和多个物联网设备之间的关系。基于Lotka–Volterra模型，在本文中，我们提出了一个模型，其中捕食者是非精确IoT设备，猎物是精确IoT设备。此外，引入了第三个物种，即维护人员，这将影响两个物种之间的相互作用，帮助猎物在生态系统中生存。这是在物联网领域应用的第一个Lotka–Volterra模型。我们的工作建立了该领域的概念验证，并为要在IoT中应用的生物学模型打开了广泛的应用程序。

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