CBI4.0: a cross-layer approach for big data gathering for active monitoring and maintenance in the manufacturing industry 4.0
Industry 4.0 (I4.0) defines a new paradigm to produce high-quality products at the low cost by reacting quickly and effectively to changing demands in the highly volatile global markets. In Industry 4.0, the adoption of Internet of Things (IoT)-enabled Wireless Sensors (WSs) in the manufacturing pro...
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| Format: | Article |
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Elsevier Inc.
2021
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| author | Faheem, Muhammad Butt, Rizwan Aslam Ali, Rashid Raza, Basit Ngadi, Md. Asri Gungor, Vehbi Cagri |
| author_facet | Faheem, Muhammad Butt, Rizwan Aslam Ali, Rashid Raza, Basit Ngadi, Md. Asri Gungor, Vehbi Cagri |
| author_sort | Faheem, Muhammad |
| collection | ePrints |
| description | Industry 4.0 (I4.0) defines a new paradigm to produce high-quality products at the low cost by reacting quickly and effectively to changing demands in the highly volatile global markets. In Industry 4.0, the adoption of Internet of Things (IoT)-enabled Wireless Sensors (WSs) in the manufacturing processes, such as equipment, machining, assembly, material handling, inspection, etc., generates a huge volume of data known as Industrial Big Data (IBD). However, the reliable and efficient gathering and transmission of this big data from the source sensors to the floor inspection system for the real-time monitoring of unexpected changes in the production and quality control processes is the biggest challenge for Industrial Wireless Sensor Networks (IWSNs). This is because of the harsh nature of the indoor industrial environment that causes high noise, signal fading, multipath effects, heat and electromagnetic interference, which reduces the transmission quality and trigger errors in the IWSNs. Therefore, this paper proposes a novel cross-layer data gathering approach called CBI4.0 for active monitoring and control of manufacturing processes in the Industry 4.0. The key aim of the proposed CBI4.0 scheme is to exploit the multi-channel and multi-radio architecture of the sensor network to guarantee quality of service (QoS) requirements, such as higher data rates, throughput, and low packet loss, corrupted packets, and latency by dynamically switching between different frequency bands in the Multichannel Wireless Sensor Networks (MWSNs). By performing several simulation experiments through EstiNet 9.0 simulator, the performance of the proposed CBI4.0 scheme is compared against existing studies in the automobile Industry 4.0. The experimental outcomes show that the proposed scheme outperforms existing schemes and is suitable for effective control and monitoring of various events in the automobile Industry 4.0. |
| first_indexed | 2024-03-05T21:07:10Z |
| format | Article |
| id | utm.eprints-95847 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T21:07:10Z |
| publishDate | 2021 |
| publisher | Elsevier Inc. |
| record_format | dspace |
| spelling | utm.eprints-958472022-06-20T04:19:34Z http://eprints.utm.my/95847/ CBI4.0: a cross-layer approach for big data gathering for active monitoring and maintenance in the manufacturing industry 4.0 Faheem, Muhammad Butt, Rizwan Aslam Ali, Rashid Raza, Basit Ngadi, Md. Asri Gungor, Vehbi Cagri QA75 Electronic computers. Computer science Industry 4.0 (I4.0) defines a new paradigm to produce high-quality products at the low cost by reacting quickly and effectively to changing demands in the highly volatile global markets. In Industry 4.0, the adoption of Internet of Things (IoT)-enabled Wireless Sensors (WSs) in the manufacturing processes, such as equipment, machining, assembly, material handling, inspection, etc., generates a huge volume of data known as Industrial Big Data (IBD). However, the reliable and efficient gathering and transmission of this big data from the source sensors to the floor inspection system for the real-time monitoring of unexpected changes in the production and quality control processes is the biggest challenge for Industrial Wireless Sensor Networks (IWSNs). This is because of the harsh nature of the indoor industrial environment that causes high noise, signal fading, multipath effects, heat and electromagnetic interference, which reduces the transmission quality and trigger errors in the IWSNs. Therefore, this paper proposes a novel cross-layer data gathering approach called CBI4.0 for active monitoring and control of manufacturing processes in the Industry 4.0. The key aim of the proposed CBI4.0 scheme is to exploit the multi-channel and multi-radio architecture of the sensor network to guarantee quality of service (QoS) requirements, such as higher data rates, throughput, and low packet loss, corrupted packets, and latency by dynamically switching between different frequency bands in the Multichannel Wireless Sensor Networks (MWSNs). By performing several simulation experiments through EstiNet 9.0 simulator, the performance of the proposed CBI4.0 scheme is compared against existing studies in the automobile Industry 4.0. The experimental outcomes show that the proposed scheme outperforms existing schemes and is suitable for effective control and monitoring of various events in the automobile Industry 4.0. Elsevier Inc. 2021-12 Article PeerReviewed Faheem, Muhammad and Butt, Rizwan Aslam and Ali, Rashid and Raza, Basit and Ngadi, Md. Asri and Gungor, Vehbi Cagri (2021) CBI4.0: a cross-layer approach for big data gathering for active monitoring and maintenance in the manufacturing industry 4.0. Journal of Industrial Information Integration, 24 . pp. 1-17. ISSN 2452-414X http://dx.doi.org/10.1016/j.jii.2021.100236 DOI:10.1016/j.jii.2021.100236 |
| spellingShingle | QA75 Electronic computers. Computer science Faheem, Muhammad Butt, Rizwan Aslam Ali, Rashid Raza, Basit Ngadi, Md. Asri Gungor, Vehbi Cagri CBI4.0: a cross-layer approach for big data gathering for active monitoring and maintenance in the manufacturing industry 4.0 |
| title | CBI4.0: a cross-layer approach for big data gathering for active monitoring and maintenance in the manufacturing industry 4.0 |
| title_full | CBI4.0: a cross-layer approach for big data gathering for active monitoring and maintenance in the manufacturing industry 4.0 |
| title_fullStr | CBI4.0: a cross-layer approach for big data gathering for active monitoring and maintenance in the manufacturing industry 4.0 |
| title_full_unstemmed | CBI4.0: a cross-layer approach for big data gathering for active monitoring and maintenance in the manufacturing industry 4.0 |
| title_short | CBI4.0: a cross-layer approach for big data gathering for active monitoring and maintenance in the manufacturing industry 4.0 |
| title_sort | cbi4 0 a cross layer approach for big data gathering for active monitoring and maintenance in the manufacturing industry 4 0 |
| topic | QA75 Electronic computers. Computer science |
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