{"title":"Personal e-comfort modelling and management based on multi-agent system and Internet of Things network","authors":"B. Gâteau, J. Rykowski","doi":"10.5220/0005229900830089","DOIUrl":null,"url":null,"abstract":"In this paper a new approach to complex comfort management is presented, aiming in automatic treatment of different comfort parameters by means of Internet-of-Things devices and multi-agent system. The paper presents a new model of e-comfort, based on common treatment of all the parameters as identified across the Maslow's hierarchy of needs. Next, a new architecture of e-comfort management is discussed, based on two layers: low-level layer of IoT devices, representing at-the-place possibilities of the system, and upper layer of software agents, formulating and negotiating the needs and expectations of human users.","PeriodicalId":345016,"journal":{"name":"2015 International Conference on Pervasive and Embedded Computing and Communication Systems (PECCS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Pervasive and Embedded Computing and Communication Systems (PECCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5220/0005229900830089","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
In this paper a new approach to complex comfort management is presented, aiming in automatic treatment of different comfort parameters by means of Internet-of-Things devices and multi-agent system. The paper presents a new model of e-comfort, based on common treatment of all the parameters as identified across the Maslow's hierarchy of needs. Next, a new architecture of e-comfort management is discussed, based on two layers: low-level layer of IoT devices, representing at-the-place possibilities of the system, and upper layer of software agents, formulating and negotiating the needs and expectations of human users.