Time Sensitive Networking for Wi-Fi Based Wireless Industrial Environments

dc.contributor.advisorMwangama, Joyce
dc.contributor.advisorLysko, Albert
dc.contributor.authorKinabo, Arnold Baraka Doste
dc.date.accessioned2022-02-18T09:44:05Z
dc.date.available2022-02-18T09:44:05Z
dc.date.issued2021
dc.date.updated2022-02-16T15:38:03Z
dc.description.abstractIn production industries, mission-critical assignments require networks characterised by deterministic low latency, dedicated bandwidth resources, and, chiefly, reliability. Several fieldbus technologies are specially placed for this. Their commonality is that they run on standard Ethernet. The relatively new Time Sensitive Networking (TSN) is among these technologies. It is a set of Ethernet standards that guarantees determinism for real-time usecases. TSN sets itself apart in that it is vendor-agnostic. And so, it promotes interoperability among standard-conformant devices. Being based on Ethernet, even TSN is plagued by downsides associated with cabled networks, most importantly, the limited range and mobility. In this regard, wireless networks are an attractive option – it would be an opportunistic venture to operate TSN in the wireless medium. Previous works have tried to address how this can be done, but as yet, it is an open problem. The issue is that most wireless networks are not optimised for determinism. Most lack the scheduling, synchronisation and other capabilities that timing-stringent applications require. Wi-Fi, for instance, suffers from many issues stemming from randomised medium access and interference, which remove the predictability from its communications. Critical TSN traffic needs special consideration when run with other services in current Wi-Fi. That being said, the key research question is: can one contend with the problem of transmitting TSN and non-TSN traffic together in the same wireless network? To answer this, the work develops a TSN simulation model that operates in Wi-Fi, whose test results can be studied to aid in analysing wireless TSN. The prototype model runs in a simulation environment, and was developed using methods that involved reusing and modifying the present wireless architecture to support the TSN traffic. Through the course of several iterative experiments, it was revealed that although the current generation of Wi-Fi can support TSN traffic, it does so inefficiently. Even with no interference, the TSN traffic experiences low losses only when the network capacity utilisation is very low, below a small percentage value. Considering the typically low demands on bandwidth in many TSN applications, this inefficient operation may still be sufficient for operating TSN over existing Wi-Fi networks. For more robust and general applications, Wi-Fi requires further enhancements to its mode of operation in order to support prioritisation of TSN traffic and more accurately cope with higher loads.
dc.identifier.apacitationKinabo, A. B. D. (2021). <i>Time Sensitive Networking for Wi-Fi Based Wireless Industrial Environments</i>. (). ,Faculty of Engineering and the Built Environment ,Department of Electrical Engineering. Retrieved from http://hdl.handle.net/11427/35755en_ZA
dc.identifier.chicagocitationKinabo, Arnold Baraka Doste. <i>"Time Sensitive Networking for Wi-Fi Based Wireless Industrial Environments."</i> ., ,Faculty of Engineering and the Built Environment ,Department of Electrical Engineering, 2021. http://hdl.handle.net/11427/35755en_ZA
dc.identifier.citationKinabo, A.B.D. 2021. Time Sensitive Networking for Wi-Fi Based Wireless Industrial Environments. . ,Faculty of Engineering and the Built Environment ,Department of Electrical Engineering. http://hdl.handle.net/11427/35755en_ZA
dc.identifier.ris TY - Master Thesis AU - Kinabo, Arnold Baraka Doste AB - In production industries, mission-critical assignments require networks characterised by deterministic low latency, dedicated bandwidth resources, and, chiefly, reliability. Several fieldbus technologies are specially placed for this. Their commonality is that they run on standard Ethernet. The relatively new Time Sensitive Networking (TSN) is among these technologies. It is a set of Ethernet standards that guarantees determinism for real-time usecases. TSN sets itself apart in that it is vendor-agnostic. And so, it promotes interoperability among standard-conformant devices. Being based on Ethernet, even TSN is plagued by downsides associated with cabled networks, most importantly, the limited range and mobility. In this regard, wireless networks are an attractive option – it would be an opportunistic venture to operate TSN in the wireless medium. Previous works have tried to address how this can be done, but as yet, it is an open problem. The issue is that most wireless networks are not optimised for determinism. Most lack the scheduling, synchronisation and other capabilities that timing-stringent applications require. Wi-Fi, for instance, suffers from many issues stemming from randomised medium access and interference, which remove the predictability from its communications. Critical TSN traffic needs special consideration when run with other services in current Wi-Fi. That being said, the key research question is: can one contend with the problem of transmitting TSN and non-TSN traffic together in the same wireless network? To answer this, the work develops a TSN simulation model that operates in Wi-Fi, whose test results can be studied to aid in analysing wireless TSN. The prototype model runs in a simulation environment, and was developed using methods that involved reusing and modifying the present wireless architecture to support the TSN traffic. Through the course of several iterative experiments, it was revealed that although the current generation of Wi-Fi can support TSN traffic, it does so inefficiently. Even with no interference, the TSN traffic experiences low losses only when the network capacity utilisation is very low, below a small percentage value. Considering the typically low demands on bandwidth in many TSN applications, this inefficient operation may still be sufficient for operating TSN over existing Wi-Fi networks. For more robust and general applications, Wi-Fi requires further enhancements to its mode of operation in order to support prioritisation of TSN traffic and more accurately cope with higher loads. DA - 2021_ DB - OpenUCT DP - University of Cape Town KW - Electrical Engineering LK - https://open.uct.ac.za PY - 2021 T1 - Time Sensitive Networking for Wi-Fi Based Wireless Industrial Environments TI - Time Sensitive Networking for Wi-Fi Based Wireless Industrial Environments UR - http://hdl.handle.net/11427/35755 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/35755
dc.identifier.vancouvercitationKinabo ABD. Time Sensitive Networking for Wi-Fi Based Wireless Industrial Environments. []. ,Faculty of Engineering and the Built Environment ,Department of Electrical Engineering, 2021 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/35755en_ZA
dc.language.rfc3066eng
dc.publisher.departmentDepartment of Electrical Engineering
dc.publisher.facultyFaculty of Engineering and the Built Environment
dc.subjectElectrical Engineering
dc.titleTime Sensitive Networking for Wi-Fi Based Wireless Industrial Environments
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationlevelMSc
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