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Self-Adaptive Strategy Based on Fuzzy Control Systems for Improving Performance in Wireless Sensors Networks

机译：基于模糊控制系统的自适应策略提高无线传感器网络性能

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摘要

The solutions to cope with new challenges that societies have to face nowadays involve providing smarter daily systems. To achieve this, technology has to evolve and leverage physical systems automatic interactions, with less human intervention. Technological paradigms like Internet of Things (IoT) and Cyber-Physical Systems (CPS) are providing reference models, architectures, approaches and tools that are to support cross-domain solutions. Thus, CPS based solutions will be applied in different application domains like e-Health, Smart Grid, Smart Transportation and so on, to assure the expected response from a complex system that relies on the smooth interaction and cooperation of diverse networked physical systems. The Wireless Sensors Networks (WSN) are a well-known wireless technology that are part of large CPS. The WSN aims at monitoring a physical system, object, (e.g., the environmental condition of a cargo container), and relaying data to the targeted processing element. The WSN communication reliability, as well as a restrained energy consumption, are expected features in a WSN. This paper shows the results obtained in a real WSN deployment, based on SunSPOT nodes, which carries out a fuzzy based control strategy to improve energy consumption while keeping communication reliability and computational resources usage among boundaries.
机译：当今社会要应对新挑战的解决方案包括提供更智能的日常系统。为此，技术必须发展并利用物理系统的自动交互功能，并减少人工干预。诸如物联网（IoT）和网络物理系统（CPS）之类的技术范例正在提供参考模型，体系结构，方法和工具，以支持跨域解决方案。因此，基于CPS的解决方案将应用于电子医疗，智能电网，智能交通等不同的应用领域，以确保复杂系统的预期响应，而复杂系统依赖于各种联网物理系统的流畅交互和协作。无线传感器网络（WSN）是众所周知的无线技术，属于大型CPS。 WSN旨在监视物理系统，对象（例如，货物集装箱的环境条件），并将数据中继到目标处理单元。 WSN通信可靠性以及受限制的能耗是WSN的预期功能。本文展示了在基于SunSPOT节点的实际WSN部署中获得的结果，该部署执行了一种基于模糊的控制策略，以改善能耗，同时保持边界之间的通信可靠性和计算资源的使用。

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