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IoTCrawler: Challenges and Solutions for Searching the Internet of Things
Content Provider | MDPI |
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Author | Ralf, Tönjes Aurora, González-Vidal Marianne, Krogbæk Iggena, Thorben Ilyas, Eushay Bin Fischer, Marten Elsaleh, Tarek Rezvani, Roonak Pourshahrokhi, Narges Bischof, Stefan Fernbach, Andreas Parreira, Josiane Xavier Schneider, Patrik Smirnov, Pavel Strohbach, Martin Truong, Hien Skarmeta, Antonio Singh, Parwinder Beliatis, Michail Presser, Mirko Martinez, Juan Gonzalez-Gil, Pedro Christophersen, Sebastian Holmgård |
Copyright Year | 2021 |
Description | 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. |
Starting Page | 1559 |
e-ISSN | 14248220 |
DOI | 10.3390/s21051559 |
Journal | Sensors |
Issue Number | 5 |
Volume Number | 21 |
Language | English |
Publisher | MDPI |
Publisher Date | 2021-02-24 |
Access Restriction | Open |
Subject Keyword | Sensors Telecommunications Internet of Things Search Security Privacy Reliability Iot Search Framework Iot Data Sources |
Content Type | Text |
Resource Type | Article |