Simon Oechsner, B. Bellalta, D. Dimitrova, T. Hossfeld
{"title":"Visions and Challenges for Sensor Network Collaboration in the Cloud","authors":"Simon Oechsner, B. Bellalta, D. Dimitrova, T. Hossfeld","doi":"10.1109/IMIS.2014.3","DOIUrl":null,"url":null,"abstract":"The rapid growth in sensor network coverage, aided by the use of smartphones as capable sensing devices, leads to an enormous amount of gathered data from a multitude of different sources. However, generally data from one specific sensor network is only used by a very limited set of users and applications. This wastes a potentially greater usefulness for other, related data sinks that could use this additional input to improve their performance or services. In this paper, we outline visions and challenges for a widespread application of sensor network collaboration in the sense of sharing and exchanging information. We also describe a basic cloud-based architecture enabling this collaboration by providing the required support to store, manage and combine the gathered data. In particular, we include collaboration between sensor networks themselves to optimize performance, a facet that was up to now neglected in literature.","PeriodicalId":345694,"journal":{"name":"2014 Eighth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Eighth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMIS.2014.3","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
The rapid growth in sensor network coverage, aided by the use of smartphones as capable sensing devices, leads to an enormous amount of gathered data from a multitude of different sources. However, generally data from one specific sensor network is only used by a very limited set of users and applications. This wastes a potentially greater usefulness for other, related data sinks that could use this additional input to improve their performance or services. In this paper, we outline visions and challenges for a widespread application of sensor network collaboration in the sense of sharing and exchanging information. We also describe a basic cloud-based architecture enabling this collaboration by providing the required support to store, manage and combine the gathered data. In particular, we include collaboration between sensor networks themselves to optimize performance, a facet that was up to now neglected in literature.