N. Chandrakant, S. Poojar, P. Deepa Shenoy, K. Venugopal, L. Patnaik
{"title":"Middleware service oriented earthquake detection in advance using WSNs","authors":"N. Chandrakant, S. Poojar, P. Deepa Shenoy, K. Venugopal, L. Patnaik","doi":"10.1109/ICOAC.2012.6416857","DOIUrl":null,"url":null,"abstract":"A Wireless Sensor Network (WSN) is a set of sensor nodes that collects the information from environment and sends to base station (Header Node or Central Node). WSNs are application specific, hence all design considerations are different for each application. This paper highlights the technique like animals as mobile biological sensors and it is based on existing animals tracking systems used for zoological studies and space-bound/earth-bound observational techniques. The abnormal behaviour of animals prior to earthquake occurrence in seismically active region can be used to predict the earthquake because animals have relatively more capability than humans to perceive certain kind of geophysical stimuli which may precede earthquake. The space-bound and earth-bound observational techniques can be used to detect early warning signals from places where stress builds up deep in the earths crust that may lead to a catastrophic earthquake. Middleware for WSN is a software infrastructure with heterogeneous features that binds together the different applications, network hardware, operating systems, and network stacks. The task of middleware is to act as an interface between WSNs and end user system, it will process data which is taken from sensor devices and bio-sensors.","PeriodicalId":286985,"journal":{"name":"2012 Fourth International Conference on Advanced Computing (ICoAC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Fourth International Conference on Advanced Computing (ICoAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOAC.2012.6416857","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
A Wireless Sensor Network (WSN) is a set of sensor nodes that collects the information from environment and sends to base station (Header Node or Central Node). WSNs are application specific, hence all design considerations are different for each application. This paper highlights the technique like animals as mobile biological sensors and it is based on existing animals tracking systems used for zoological studies and space-bound/earth-bound observational techniques. The abnormal behaviour of animals prior to earthquake occurrence in seismically active region can be used to predict the earthquake because animals have relatively more capability than humans to perceive certain kind of geophysical stimuli which may precede earthquake. The space-bound and earth-bound observational techniques can be used to detect early warning signals from places where stress builds up deep in the earths crust that may lead to a catastrophic earthquake. Middleware for WSN is a software infrastructure with heterogeneous features that binds together the different applications, network hardware, operating systems, and network stacks. The task of middleware is to act as an interface between WSNs and end user system, it will process data which is taken from sensor devices and bio-sensors.