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物联网爬虫：搜索物联网的挑战与解决方案

IoTCrawler: Challenges and Solutions for Searching the Internet of Things.

作者信息

Iggena Thorben, Bin Ilyas Eushay, Fischer Marten, Tönjes Ralf, Elsaleh Tarek, Rezvani Roonak, Pourshahrokhi Narges, Bischof Stefan, Fernbach Andreas, Xavier Parreira Josiane, Schneider Patrik, Smirnov Pavel, Strohbach Martin, Truong Hien, González-Vidal Aurora, Skarmeta Antonio F, Singh Parwinder, Beliatis Michail J, Presser Mirko, Martinez Juan A, Gonzalez-Gil Pedro, Krogbæk Marianne, Holmgård Christophersen Sebastian

机构信息

Faculty of Engineering and Computer Science, University of Applied Sciences Osnabrück, 49076 Osnabrück, Germany.

Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford GU2 7XH, UK.

出版信息

Sensors (Basel). 2021 Feb 24;21(5):1559. doi: 10.3390/s21051559.

DOI:10.3390/s21051559
PMID:33668113
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7956704/
Abstract

Due to the rapid development of the Internet of Things (IoT) and consequently, the availability of more and more IoT data sources, mechanisms for searching and integrating IoT data sources become essential to leverage all relevant data for improving processes and services. This paper presents the IoT search framework IoTCrawler. The IoTCrawler framework is not only another IoT framework, it is a system of systems which connects existing solutions to offer interoperability and to overcome data fragmentation. In addition to its domain-independent design, IoTCrawler features a layered approach, offering solutions for crawling, indexing and searching IoT data sources, while ensuring privacy and security, adaptivity and reliability. The concept is proven by addressing a list of requirements defined for searching the IoT and an extensive evaluation. In addition, real world use cases showcase the applicability of the framework and provide examples of how it can be instantiated for new scenarios.

摘要

由于物联网（IoT）的迅速发展，相应地，越来越多的物联网数据源可供使用，因此，搜索和集成物联网数据源的机制对于利用所有相关数据来改进流程和服务变得至关重要。本文介绍了物联网搜索框架IoTCrawler。IoTCrawler框架不仅是另一个物联网框架，它还是一个系统体系，连接现有解决方案以提供互操作性并克服数据碎片化问题。除了其独立于领域的设计外，IoTCrawler还具有分层方法，为物联网数据源的爬取、索引和搜索提供解决方案，同时确保隐私和安全性、适应性和可靠性。通过满足为搜索物联网定义的一系列要求以及广泛的评估，验证了该概念。此外，实际用例展示了该框架的适用性，并提供了如何针对新场景实例化该框架的示例。

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