J. Koskinen, Pekka Kilpeläinen, Jari Rehu, Pirkka Tukeva, M. Sallinen
{"title":"Wireless Sensor Networks for infrastructure and industrial monitoring applications","authors":"J. Koskinen, Pekka Kilpeläinen, Jari Rehu, Pirkka Tukeva, M. Sallinen","doi":"10.1109/ICTC.2010.5674672","DOIUrl":null,"url":null,"abstract":"In this paper we present a Wireless Sensor Network for professional applications and two examples for measurements in infrastructure applications, including ground vibration monitoring and pile driving, and one M2M application for measuring deformations in train wheels. There are two different types of sensor nodes designed to fill the requirements of the applications: one with a microcontroller and radio, and another with a microcontroller combined with an FPGA chip to provide efficient parallel computation. Two of the sensor network applications have been tested in an actual working environment to prove the applicability to a real system. The results are very promising and the developed technology can be applied to other applications where heavy computation and high-frequency measurement is required.","PeriodicalId":149198,"journal":{"name":"2010 International Conference on Information and Communication Technology Convergence (ICTC)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Information and Communication Technology Convergence (ICTC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTC.2010.5674672","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 17
Abstract
In this paper we present a Wireless Sensor Network for professional applications and two examples for measurements in infrastructure applications, including ground vibration monitoring and pile driving, and one M2M application for measuring deformations in train wheels. There are two different types of sensor nodes designed to fill the requirements of the applications: one with a microcontroller and radio, and another with a microcontroller combined with an FPGA chip to provide efficient parallel computation. Two of the sensor network applications have been tested in an actual working environment to prove the applicability to a real system. The results are very promising and the developed technology can be applied to other applications where heavy computation and high-frequency measurement is required.