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One of the primary challenges facing the Internet of Things is thereservation and efficient consumption of energy resources, especially in thosetypes of applications that require continuous monitoring or suffer from lackingongoing energy resources. Despite this, the indoor temperature and humiditymonitoring systems are unconcerned about the insignificant amount of energyconsumed during critical times when sending unimportant or useless data to thecontrol rooms servers. This paper proposes a fuzzy logic-based approach forreducing the amount of energy spent in indoor temperature and humiditymonitoring systems by filtering data that is sent to servers based on severalsurrounding circumstances such as time of data recording and current energyconsumption amount while maintaining constant monitoring. The experimentalresults on the Appliances Energy Prediction dataset show that the proposedfuzzy-based approach successfully reduces energy consumption in temperature andhumidity monitoring systems by 11.8% .

A Proposed Fuzzy Logic Approach for Conserving the Energy of Data Transmission in the Temperature Monitoring Systems of Internet of Things