Qian Wang, Brian A. Lee, Niall Murray, Yuansong Qiao
{"title":"IProIoT: An in-network processing framework for IoT using Information Centric Networking","authors":"Qian Wang, Brian A. Lee, Niall Murray, Yuansong Qiao","doi":"10.1109/ICUFN.2017.7993754","DOIUrl":null,"url":null,"abstract":"The Internet of Things (IoT) network supports various network applications through billions of heterogeneous connected devices. Efficient processing of enormous amounts of IoT data collected and exchanged by these devices is a key problem. Another issue is addressing information-centric IoT application data aggregation. To achieve these goals, this paper utilizes the novel Information Centric Networking (ICN) technology to define a framework for IoT in-network processing (IProIoT). The philosophy of ICN offers a perfect match with the feature of IoT applications. It regards data as the first-class entity so that all operations on data is based on its unique name rather than the address of data storage. By leveraging a flexible naming scheme, our framework implements a set of computational components to execute and optimize IoT tasks. Thus, data is processed by appropriate IoT nodes on the path to consumers. Preliminary testing has shown the feasibility of our design in reducing network traffic and round-trip delay.","PeriodicalId":284480,"journal":{"name":"2017 Ninth International Conference on Ubiquitous and Future Networks (ICUFN)","volume":"160 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Ninth International Conference on Ubiquitous and Future Networks (ICUFN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICUFN.2017.7993754","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
The Internet of Things (IoT) network supports various network applications through billions of heterogeneous connected devices. Efficient processing of enormous amounts of IoT data collected and exchanged by these devices is a key problem. Another issue is addressing information-centric IoT application data aggregation. To achieve these goals, this paper utilizes the novel Information Centric Networking (ICN) technology to define a framework for IoT in-network processing (IProIoT). The philosophy of ICN offers a perfect match with the feature of IoT applications. It regards data as the first-class entity so that all operations on data is based on its unique name rather than the address of data storage. By leveraging a flexible naming scheme, our framework implements a set of computational components to execute and optimize IoT tasks. Thus, data is processed by appropriate IoT nodes on the path to consumers. Preliminary testing has shown the feasibility of our design in reducing network traffic and round-trip delay.