论文标题
提出的模糊逻辑方法，用于保存物联网温度监控系统中数据传输能量
A Proposed Fuzzy Logic Approach for Conserving the Energy of Data Transmission in the Temperature Monitoring Systems of Internet of Things
论文作者
论文摘要
物联网面临的首要挑战之一是保留和有效消费能源资源，尤其是在需要持续监控或缺乏持续能源资源的应用程序中。尽管如此，室内温度和湿度监测系统在关键时期将无关紧要或无用的数据发送到控制室服务器时，室内温度和湿度监测系统并不关心。本文提出了一种基于模糊的逻辑方法，用于减少室内温度和湿度监测系统中花费的能量量，通过过滤基于几个周围情况（例如数据记录时间和当前的能耗量）在维持恒定监视的同时，将数据发送给服务器。电器能量预测数据集的实验结果表明，提出的基于模糊的方法成功地将温度和湿度监测系统中的能源消耗降低了11.8％。
One of the primary challenges facing the Internet of Things is the reservation and efficient consumption of energy resources, especially in those types of applications that require continuous monitoring or suffer from lacking ongoing energy resources. Despite this, the indoor temperature and humidity monitoring systems are unconcerned about the insignificant amount of energy consumed during critical times when sending unimportant or useless data to the control rooms servers. This paper proposes a fuzzy logic-based approach for reducing the amount of energy spent in indoor temperature and humidity monitoring systems by filtering data that is sent to servers based on several surrounding circumstances such as time of data recording and current energy consumption amount while maintaining constant monitoring. The experimental results on the Appliances Energy Prediction dataset show that the proposed fuzzy-based approach successfully reduces energy consumption in temperature and humidity monitoring systems by 11.8% .
