IoTCrawler: Challenges and Solutions for Searching the Internet of Things
| Autor: | Narges Pourshahrokhi, Pavel A. Smirnov, Antonio F. Skarmeta, Stefan Bischof, Mirko Presser, Andreas Fernbach, Patrik Schneider, Sebastian Holmgård Holmgård Christophersen, Josiane Xavier Parreira, Thorben Iggena, Martin Strohbach, Michail J. Beliatis, Hien Thi Thu Truong, Marten Fischer, Eushay Bin Ilyas, Marianne Krogbæk, Juan A. Martinez, Tarek Elsaleh, Roonak Rezvani, Parwinder Singh, Aurora González-Vidal, Pedro Gonzalez-Gil, Ralf Tönjes |
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| Rok vydání: | 2021 |
| Předmět: |
IoT data sources
Computer science Reliability (computer networking) Internet of Things Interoperability security 02 engineering and technology Crawling lcsh:Chemical technology privacy Biochemistry Article Analytical Chemistry 020204 information systems 0202 electrical engineering electronic engineering information engineering Leverage (statistics) lcsh:TP1-1185 Electrical and Electronic Engineering Instrumentation search System of systems reliability business.industry Search engine indexing Data science Atomic and Molecular Physics and Optics IoT search framework 020201 artificial intelligence & image processing business |
| Zdroj: | Sensors Sensors (Basel, Switzerland) Sensors, Vol 21, Iss 1559, p 1559 (2021) Iggena, T, Bin Ilyas, E, Fischer, M, Tönjes, R, Elsaleh, T, Rezvani, R, Pourshahrokhi, N, Bischof, S, Andreas, A, Xavier Parreira, J, Schneider, P, Smirnov, P, Strohbach, M, Truong, H, González-Vidal, A, Skarmeta, A, Singh, P, Beliatis, M, Presser, M, Martinez, J A, Gonzalez-Gil, P, Krogbæk, M & Christophersen, S H 2021, ' IoTCrawler: Challenges and Solutions for Searching the Internet of Things ', Sensors, vol. 21, no. 5 . https://doi.org/10.3390/s21051559 Volume 21 Issue 5 |
| ISSN: | 1424-8220 |
| DOI: | 10.3390/s21051559 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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