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Test and Measurement of LPWAN and Cellular IoT Networks in a Unified Testbed

  • One of the main requirements of spatially distributed Internet of Things (IoT) solutions is to have networks with wider coverage to connect many low-power devices. Low-Power Wide-Area Networks (LPWAN) and Cellular IoT(cIOT) networks are promising candidates in this space. LPWAN approaches are based on enhanced physical layer (PHY) implementations to achieve long range such as LoRaWAN, SigFox,One of the main requirements of spatially distributed Internet of Things (IoT) solutions is to have networks with wider coverage to connect many low-power devices. Low-Power Wide-Area Networks (LPWAN) and Cellular IoT(cIOT) networks are promising candidates in this space. LPWAN approaches are based on enhanced physical layer (PHY) implementations to achieve long range such as LoRaWAN, SigFox, MIOTY. Narrowband versions of cellular network offer reduced bandwidth and, simplified node and network management mechanisms, such as Narrow Band IoT (NB-IoT) and Long-Term Evolution for Machines (LTE-M). Since the underlying use cases come with various requirements it is essential to perform a comparative analysis of competing technologies. This article provides systematic performance measurement and comparison of LPWAN and NB-IoT technologies in a unified testbed, also discusses the necessity of future fifth generation (5G) LPWAN solutions.show moreshow less

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Metadaten
Document Type:Conference Proceeding
Conference Type:Konferenzartikel
Zitierlink: https://opus.hs-offenburg.de/3908
Bibliografische Angaben
Title (English):Test and Measurement of LPWAN and Cellular IoT Networks in a Unified Testbed
Conference:INDIN: International Conference on Industrial Informatics (17. : 22-25 July 2019 : Helsinki, Finland)
Author:Jubin Sebastian ElayanithottathilStaff MemberGND, Axel SikoraStaff MemberORCiDGND, Manuel SchappacherStaff MemberGND, Zubair AmjadStaff Member
Year of Publication:2020
Publisher:IEEE
Page Number:7
First Page:1521
Last Page:1527
Parent Title (English):Proceedings : 2019 IEEE 17th International Conference on Industrial Informatics (INDIN)
ISBN:978-1-7281-2927-3
ISSN:2378-363X
DOI:https://doi.org/10.1109/INDIN41052.2019.8972256
Language:English
Inhaltliche Informationen
Institutes:Fakultät Elektrotechnik, Medizintechnik und Informatik (EMI) (ab 04/2019)
Institutes:Bibliografie
Tag:Internet of Things; Long Term Evolution; cellular radio; computer network management; machine-to-machine communication; radio networks; telecommunication equipment testing; wide area networks
Formale Angaben
Open Access: Closed Access 
Licence (German):License LogoUrheberrechtlich geschützt