{"title":"ReSNE: Reconfigurable sensor network emulator virtualizing integrated large-scale sensor network","authors":"D. Baba, N. Suematsu, Shun Nabeshima, T. Miyazaki","doi":"10.1109/ICCNC.2016.7440561","DOIUrl":null,"url":null,"abstract":"In this study, we propose a reconfigurable sensor network emulator (ReSNE) that realizes a virtual large-scale sensor network environment by combining pseudo sensor/network devices and real ones. This is necessary as it is difficult to evaluate nationwide sensor networks using a real environment because of the need for a large number of real sensor nodes and related devices such as base stations, in addition to a large dedicated communication network. To emulate sensor network traffic, we also use a sensor data generator that generates sensed data packets in the network based on specific user-defined parameters. Furthermore, we develop an auto-configuration tool to enable us to set up the environment quickly. Here, we discuss details of the proposed ReSNE architecture and present some of the evaluation results obtained.","PeriodicalId":308458,"journal":{"name":"2016 International Conference on Computing, Networking and Communications (ICNC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Computing, Networking and Communications (ICNC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCNC.2016.7440561","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
In this study, we propose a reconfigurable sensor network emulator (ReSNE) that realizes a virtual large-scale sensor network environment by combining pseudo sensor/network devices and real ones. This is necessary as it is difficult to evaluate nationwide sensor networks using a real environment because of the need for a large number of real sensor nodes and related devices such as base stations, in addition to a large dedicated communication network. To emulate sensor network traffic, we also use a sensor data generator that generates sensed data packets in the network based on specific user-defined parameters. Furthermore, we develop an auto-configuration tool to enable us to set up the environment quickly. Here, we discuss details of the proposed ReSNE architecture and present some of the evaluation results obtained.