CoSense: The Collaborative Sensing Middleware for the Internet-of-Things

被引：2

作者：

Schmeißer, Stephan ^{[1
]}

Schiele, Gregor ^{[1
]}

机构：

[1] University Duisburg-Essen, Duisburg, Germany

来源：

ACM/IMS Transactions on Data Science | 2020年 / 1卷 / 04期

关键词：

Data acquisition - Fault tolerance - Quality of service - Middleware;

D O I：

10.1145/3395233

中图分类号：

学科分类号：

摘要：

We present coSense-the collaborative, fault-tolerant, and adaptive sensing middleware for the Internet-of-Things (IoT). By actively harnessing the greatest asset of the IoT, the sheer number of devices, coSense is able to provide easy data acquisition with quality-of-service-based data cleaning by combining unsupervised learning and information fusion. It can also greatly improve sensor accuracy and fault tolerance to produce measurements specifically tailored for modern data-driven IoT empowered applications. In this article, we focus on the general concepts behind coSense and evaluate the accuracy gain based on a real-world dataset. © 2020 ACM.

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