Comparative Analysis of Channel Models for Industrial IoT Wireless Communication
In the industrial environments of the future, robots, sensors, and other industrial devices will have to communicate autonomously and in a robust and efficient manner with each other, relying on a large extent on wireless communication links, which will expand and supplement the existing wired/Ether...
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| Format: | Article |
| Language: | English |
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IEEE
2019-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/8756193/ |
| _version_ | 1818620793165185024 |
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| author | Wenbo Wang Stefan L. Capitaneanu Dana Marinca Elena-Simona Lohan |
| author_facet | Wenbo Wang Stefan L. Capitaneanu Dana Marinca Elena-Simona Lohan |
| author_sort | Wenbo Wang |
| collection | DOAJ |
| description | In the industrial environments of the future, robots, sensors, and other industrial devices will have to communicate autonomously and in a robust and efficient manner with each other, relying on a large extent on wireless communication links, which will expand and supplement the existing wired/Ethernet connections. The wireless communication links suffer from various channel impairments, such as attenuations due to path losses, random fluctuations due to shadowing and fading effects over the channel and the non line-of-sight (NLoS) due to obstacles on the communication path. Several channel models exist to model the industrial environments in indoor, urban, or rural areas, but a comprehensive comparison of their characteristics is still missing from the current literature. Moreover, several IoT technologies are already on the market, many competing with each other for future possible services and applications in Industrial IoT (IIoT) environments. This paper aims at giving a survey of existing wireless channel models applicable to the IIoT context and to compare them for the first time in terms of worst-case, median-case, and best-case predictive behaviors. Performance metrics, such as cell radius, spectral efficiency, and outage probability, are investigated with a focus on three long-range IoT technologies, one medium-range, and one short-range IoT technology as selected case studies. A summary of popular IoT technologies and their applicability to industrial scenarios is addressed as well. |
| first_indexed | 2024-12-16T17:59:01Z |
| format | Article |
| id | doaj.art-23852f1cc1634529bb4741b4d997ee31 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-16T17:59:01Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-23852f1cc1634529bb4741b4d997ee312022-12-21T22:22:05ZengIEEEIEEE Access2169-35362019-01-017916279164010.1109/ACCESS.2019.29272178756193Comparative Analysis of Channel Models for Industrial IoT Wireless CommunicationWenbo Wang0https://orcid.org/0000-0002-4319-4103Stefan L. Capitaneanu1Dana Marinca2Elena-Simona Lohan3Electrical Engineering Unit, Tampere University, Tampere, FinlandSchneider Electric, Rueil-Malmaison, FrancePRISM Unit, University Paris Saclay, Saint-Aubin, FranceElectrical Engineering Unit, Tampere University, Tampere, FinlandIn the industrial environments of the future, robots, sensors, and other industrial devices will have to communicate autonomously and in a robust and efficient manner with each other, relying on a large extent on wireless communication links, which will expand and supplement the existing wired/Ethernet connections. The wireless communication links suffer from various channel impairments, such as attenuations due to path losses, random fluctuations due to shadowing and fading effects over the channel and the non line-of-sight (NLoS) due to obstacles on the communication path. Several channel models exist to model the industrial environments in indoor, urban, or rural areas, but a comprehensive comparison of their characteristics is still missing from the current literature. Moreover, several IoT technologies are already on the market, many competing with each other for future possible services and applications in Industrial IoT (IIoT) environments. This paper aims at giving a survey of existing wireless channel models applicable to the IIoT context and to compare them for the first time in terms of worst-case, median-case, and best-case predictive behaviors. Performance metrics, such as cell radius, spectral efficiency, and outage probability, are investigated with a focus on three long-range IoT technologies, one medium-range, and one short-range IoT technology as selected case studies. A summary of popular IoT technologies and their applicability to industrial scenarios is addressed as well.https://ieeexplore.ieee.org/document/8756193/3GPP channel loss modelscell radiusindustrial IoToutage probabilityspectral efficiency |
| spellingShingle | Wenbo Wang Stefan L. Capitaneanu Dana Marinca Elena-Simona Lohan Comparative Analysis of Channel Models for Industrial IoT Wireless Communication IEEE Access 3GPP channel loss models cell radius industrial IoT outage probability spectral efficiency |
| title | Comparative Analysis of Channel Models for Industrial IoT Wireless Communication |
| title_full | Comparative Analysis of Channel Models for Industrial IoT Wireless Communication |
| title_fullStr | Comparative Analysis of Channel Models for Industrial IoT Wireless Communication |
| title_full_unstemmed | Comparative Analysis of Channel Models for Industrial IoT Wireless Communication |
| title_short | Comparative Analysis of Channel Models for Industrial IoT Wireless Communication |
| title_sort | comparative analysis of channel models for industrial iot wireless communication |
| topic | 3GPP channel loss models cell radius industrial IoT outage probability spectral efficiency |
| url | https://ieeexplore.ieee.org/document/8756193/ |
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