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 af dette arbejde

Institut for Forretningsudvikling og Teknologi

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avis › Tidsskriftartikel › Forskning › peer review

23 Citationer (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.

Originalsprog	Engelsk
Artikelnummer	1559
Tidsskrift	Sensors
Vol/bind	21
Nummer	5
Sider (fra-til)	1-32
Antal sider	32
ISSN	1424-8220
DOI	https://doi.org/10.3390/s21051559
Status	Udgivet - 1 mar. 2021

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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. Artikel 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",

author = "Thorben Iggena and {Bin Ilyas}, Eushay and Marten Fischer and Ralf T{\"o}njes and Tarek Elsaleh and Roonak Rezvani and Narges Pourshahrokhi and Stefan Bischof and Andreas Andreas and {Xavier Parreira}, Josiane and Patrik Schneider and Pavel Smirnov and Martin Strohbach and Hien Truong and Aurora Gonz{\'a}lez-Vidal and Antonio Skarmeta and Parwinder Singh and Michail Beliatis and Mirko Presser and Martinez, {Juan A.} and Pedro Gonzalez-Gil and Marianne Krogb{\ae}k and Christophersen, {Sebastian Holmg{\aa}rd}",

year = "2021",

month = mar,

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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, bind 21, nr. 5, 1559, s. 1-32. https://doi.org/10.3390/s21051559

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AU - Iggena, Thorben

AU - Bin Ilyas, Eushay

AU - Fischer, Marten

AU - Tönjes, Ralf

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

PY - 2021/3/1

Y1 - 2021/3/1

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

KW - IoT search framework

KW - Privacy

KW - Reliability

KW - Search

KW - Security

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DO - 10.3390/s21051559

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SN - 1424-8220

VL - 21

SP - 1

EP - 32

JO - Sensors

JF - Sensors

IS - 5

M1 - 1559

ER -

IoTCrawler: Challenges and Solutions for Searching the Internet of Things

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