{"title":"Fuzzy Logic Framework for Internet of Things Systems Implementation","authors":"S. Zoican, R. Zoican, D. Galatchi","doi":"10.1109/TELSIKS52058.2021.9606349","DOIUrl":null,"url":null,"abstract":"This paper presents a framework to implement an Internet of Things (IoT) system using fuzzy logic. This framework provides general fuzzy membership functions that can be particularized for various applications implementing specific fuzzy rules to determine the system output. The motivation of this work is to create and test a flexible framework for the rapid implementation of IoT applications. Generic functions are implemented that are integrated into a commercial hardware platform. The framework is evaluated in terms of computation time and power consumption using a wireless sensor network (WSN) evaluation kit from Analog Devices. Also, a system for determining a person’s health condition is illustrated as an application implementation example using the proposed fuzzy IoT framework.","PeriodicalId":228464,"journal":{"name":"2021 15th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 15th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TELSIKS52058.2021.9606349","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper presents a framework to implement an Internet of Things (IoT) system using fuzzy logic. This framework provides general fuzzy membership functions that can be particularized for various applications implementing specific fuzzy rules to determine the system output. The motivation of this work is to create and test a flexible framework for the rapid implementation of IoT applications. Generic functions are implemented that are integrated into a commercial hardware platform. The framework is evaluated in terms of computation time and power consumption using a wireless sensor network (WSN) evaluation kit from Analog Devices. Also, a system for determining a person’s health condition is illustrated as an application implementation example using the proposed fuzzy IoT framework.