Panos Sakkos, D. Kotsakos, V. Kalogeraki, D. Gunopulos, J. Hollmén
{"title":"Defining a mobile architecture for structural health monitoring","authors":"Panos Sakkos, D. Kotsakos, V. Kalogeraki, D. Gunopulos, J. Hollmén","doi":"10.1145/2674396.2674468","DOIUrl":null,"url":null,"abstract":"The proliferation of powerful, programmable mobile devices along with the availability of wide-area connectivity has provided a powerful platform to sense and share location, motion, acoustic and visual data. The new generation of smart devices feature a variety of sensors that can be used towards building scalable and extendable monitoring systems with hundreds of nodes. In this paper, we report on work in progress to develop a distributed mobile system for Structural Health Monitoring utilizing smart handheld devices. We describe a distributed clustering algorithm that clusters nodes that produce similar power spectra and thus enables the implementation of decentralized heavy computation monitoring algorithms.","PeriodicalId":192421,"journal":{"name":"Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments","volume":"165 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2674396.2674468","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
The proliferation of powerful, programmable mobile devices along with the availability of wide-area connectivity has provided a powerful platform to sense and share location, motion, acoustic and visual data. The new generation of smart devices feature a variety of sensors that can be used towards building scalable and extendable monitoring systems with hundreds of nodes. In this paper, we report on work in progress to develop a distributed mobile system for Structural Health Monitoring utilizing smart handheld devices. We describe a distributed clustering algorithm that clusters nodes that produce similar power spectra and thus enables the implementation of decentralized heavy computation monitoring algorithms.
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