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Performance prediction and analysis of a dynamic, self-configuring IoT network
Thesis (MEng)--Stellenbosch University, 2022.
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| Format: | Thesis |
| Language: | en_ZA |
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Stellenbosch : Stellenbosch University
2022
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| _version_ | 1867614090661199872 |
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| access_status_str | Open Access |
| author | Hershaw, James |
| author2 | Wolhuter, Riaan |
| author_browse | Hershaw, James Wolhuter, Riaan |
| author_facet | Wolhuter, Riaan Hershaw, James |
| author_sort | Hershaw, James |
| collection | Thesis |
| dc_rights_str_mv | Stellenbosch University |
| description | Thesis (MEng)--Stellenbosch University, 2022. |
| format | Thesis |
| id | oai:scholar.sun.ac.za:10019.1/124644 |
| institution | Stellenbosch University (South Africa) |
| language | en_ZA |
| last_indexed | 2026-06-10T12:46:30.498Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | Stellenbosch : Stellenbosch University |
| publisherStr | Stellenbosch : Stellenbosch University |
| record_format | dspace |
| source_str | SUNScholar — Stellenbosch University Repository |
| spelling | oai:scholar.sun.ac.za:10019.1/124644 Performance prediction and analysis of a dynamic, self-configuring IoT network Hershaw, James Wolhuter, Riaan Niesler, Thomas Stellenbosch University. Faculty of Engineering. Dept. of Electrical and Electronic Engineering. Self-Configuring IoT Network UCTD Wireless sensor network Modulation (Electronics) Predictive control Thesis (MEng)--Stellenbosch University, 2022. ENGLISH ABSTRACT: In this thesis a hypothetical wireless sensor network is modelled in software us ing discrete event simulation before a theoretical predictive model is developed for this hypothetical network using queuing theory. A study of cases in which wireless sensor networks have been implemented both practically and in simulation is conducted before a radio module is se lected with which the models can be parameterised. Various appropriate MAC layer and routing protocols are investigated and the MACAW MAC layer and AODV routing protocols are selected to be implemented in the simulated and theoretical models. The results of both the simulated model and the theoretical model are compared across a number of different possible network topologies and different transmission arrival rates. The theoretical model was able to accurately predict the behavior of the network at duty cycles appropriate for this type of network. AFRIKAANSE OPSOMMING: In hierdie tesis word ’n hipotetiese draadlose sensornetwerk in sagteware gemodelleer deur gebruik te maak van diskrete gebeurtenissimulasie voordat ’n teoretiese voorspellingsmodel deur toestandteorie vir hierdie hipotetiese netwerk geontwikkel is. ’n Studie van gevalle waarin draadlose sensornetwerke beide prakties en in simulasie geïmplementeer is word uitgevoer voordat ’n radiomodule gekies word waarmee die modelle geparameteriseer kan word. Verskeie toepaslike MAC-laag en roeteringsprotokolle word ondersoek en die MACAW MAC-laag en AODV roeteringsprotokolle word gekies om in die gesimuleerde en teoretiese modelle geïmplementeer te word. Die resultate van beide die gesimuleerde model en die teoretiese model word vergelyk oor ’n aantal verskillende moontlike netwerktopologieë en verskillende transmissie-aankomskoerse. Die teoretiese model was in staat om die gedrag akkuraat te voorspel van die netwerk by dienssiklusse wat geskik is vir hierdie tipe netwerk. Masters 2022-03-03T06:35:16Z 2022-04-29T09:24:04Z 2022-03-03T06:35:16Z 2022-04-29T09:24:04Z 2022-04 Thesis http://hdl.handle.net/10019.1/124644 en_ZA Stellenbosch University 126 pages application/pdf Stellenbosch : Stellenbosch University |
| spellingShingle | Self-Configuring IoT Network UCTD Wireless sensor network Modulation (Electronics) Predictive control Hershaw, James Performance prediction and analysis of a dynamic, self-configuring IoT network |
| title | Performance prediction and analysis of a dynamic, self-configuring IoT network |
| title_full | Performance prediction and analysis of a dynamic, self-configuring IoT network |
| title_fullStr | Performance prediction and analysis of a dynamic, self-configuring IoT network |
| title_full_unstemmed | Performance prediction and analysis of a dynamic, self-configuring IoT network |
| title_short | Performance prediction and analysis of a dynamic, self-configuring IoT network |
| title_sort | performance prediction and analysis of a dynamic self configuring iot network |
| topic | Self-Configuring IoT Network UCTD Wireless sensor network Modulation (Electronics) Predictive control |
| url | http://hdl.handle.net/10019.1/124644 |
| work_keys_str_mv | AT hershawjames performancepredictionandanalysisofadynamicselfconfiguringiotnetwork |