IoTCrawler: Challenges and Solutions for Searching the Internet of Things

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

doi:10.3390/s21051559

IoTCrawler: Challenges and Solutions for Searching the Internet of Things

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

^*Corresponding author for this work

Department of Business Development and Technology

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review

23 Citations (Scopus)

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.

Original language	English
Article number	1559
Journal	Sensors
Volume	21
Issue	5
Pages (from-to)	1-32
Number of pages	32
ISSN	1424-8220
DOIs	https://doi.org/10.3390/s21051559
Publication status	Published - 1 Mar 2021

Keywords

Internet of Things
IoT data sources
IoT search framework
Privacy
Reliability
Search
Security

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10.3390/s21051559

https://www.mdpi.com/1424-8220/21/5/1559

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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., ... Christophersen, S. H. (2021). IoTCrawler: Challenges and Solutions for Searching the Internet of Things. Sensors, 21(5), 1-32. Article 1559. https://doi.org/10.3390/s21051559

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title = "IoTCrawler: Challenges and Solutions for Searching the Internet of Things",

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.",

keywords = "Internet of Things, IoT data sources, IoT search framework, Privacy, Reliability, Search, Security",

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doi = "10.3390/s21051559",

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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, JA, Gonzalez-Gil, P, Krogbæk, M & Christophersen, SH 2021, 'IoTCrawler: Challenges and Solutions for Searching the Internet of Things', Sensors, vol. 21, no. 5, 1559, pp. 1-32. https://doi.org/10.3390/s21051559

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AU - Elsaleh, Tarek

AU - Rezvani, Roonak

AU - Pourshahrokhi, Narges

AU - Bischof, Stefan

AU - Andreas, Andreas

AU - Xavier Parreira, Josiane

AU - Schneider, Patrik

AU - Smirnov, Pavel

AU - Strohbach, Martin

AU - Truong, Hien

AU - González-Vidal, Aurora

AU - Skarmeta, Antonio

AU - Singh, Parwinder

AU - Beliatis, Michail

AU - Presser, Mirko

AU - Martinez, Juan A.

AU - Gonzalez-Gil, Pedro

AU - Krogbæk, Marianne

AU - Christophersen, Sebastian Holmgård

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N2 - 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.

AB - 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.

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KW - IoT data sources

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KW - Privacy

KW - Reliability

KW - Search

KW - Security

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SN - 1424-8220

VL - 21

SP - 1

EP - 32

JO - Sensors

JF - Sensors

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M1 - 1559

ER -

IoTCrawler: Challenges and Solutions for Searching the Internet of Things

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Keywords

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