Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
Design and optimisation of a low cost Cognitive Mesh Network
Wireless Mesh Networks (WMNs) have been touted as the most promising wireless technology in providing high-bandwidth Internet access to rural, remote and under-served areas, with relatively lower investment cost as compared to traditional access networks. WMNs structurally comprise of mesh routers a...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
Department of Computer Science
2017
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1867613228203245568 |
|---|---|
| access_status_str | Open Access |
| author | Nleya, Sindiso M |
| author2 | Keet, Maria |
| author_browse | Keet, Maria Nleya, Sindiso M |
| author_facet | Keet, Maria Nleya, Sindiso M |
| author_sort | Nleya, Sindiso M |
| collection | Thesis |
| description | Wireless Mesh Networks (WMNs) have been touted as the most promising wireless technology in providing high-bandwidth Internet access to rural, remote and under-served areas, with relatively lower investment cost as compared to traditional access networks. WMNs structurally comprise of mesh routers and mesh clients. Furthermore, WMNs have an envisaged ability to provide a heterogeneous network system that integrates wireless technologies such as IEEE 802.22 WRAN, IEEE 802.16 WiMAX, IEEE 802.11 Wi-Fi, Blue-tooth etc. The recent proliferation of new devices on the market such as smart phones and, tablets, and the growing number of resource hungry applications has placed a serious strain on spectrum availability which gives rise to the spectrum scarcity problem. The spectrum scarcity problem essentially results in increased spectrum prices that hamper the growth and efficient performance of WMNs as well as subsequent transformation of WMN into the envisaged next generation networks. Recent developments in TV white space communications technology and the emergence of Cognitive radio devices that facilitate Dynamic Spectrum Access (DSA) have provided an opportunity to mitigate the spectrum scarcity problem. To solve the scarcity problem, this thesis reconsiders the classical Network Engineering (NE) and Traffic Engineering (TE) problems to objectively design a low cost Cognitive Mesh network that promotes efficient resources utilization and thereby achieve better Quality of Service (QoS) levels. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/23057 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:32:47.627Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2017 |
| publishDateRange | 2017 |
| publishDateSort | 2017 |
| publisher | Department of Computer Science |
| publisherStr | Department of Computer Science |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/23057 Design and optimisation of a low cost Cognitive Mesh Network Nleya, Sindiso M Keet, Maria Bagula, Antoine Computer Science Wireless Mesh Networks (WMNs) have been touted as the most promising wireless technology in providing high-bandwidth Internet access to rural, remote and under-served areas, with relatively lower investment cost as compared to traditional access networks. WMNs structurally comprise of mesh routers and mesh clients. Furthermore, WMNs have an envisaged ability to provide a heterogeneous network system that integrates wireless technologies such as IEEE 802.22 WRAN, IEEE 802.16 WiMAX, IEEE 802.11 Wi-Fi, Blue-tooth etc. The recent proliferation of new devices on the market such as smart phones and, tablets, and the growing number of resource hungry applications has placed a serious strain on spectrum availability which gives rise to the spectrum scarcity problem. The spectrum scarcity problem essentially results in increased spectrum prices that hamper the growth and efficient performance of WMNs as well as subsequent transformation of WMN into the envisaged next generation networks. Recent developments in TV white space communications technology and the emergence of Cognitive radio devices that facilitate Dynamic Spectrum Access (DSA) have provided an opportunity to mitigate the spectrum scarcity problem. To solve the scarcity problem, this thesis reconsiders the classical Network Engineering (NE) and Traffic Engineering (TE) problems to objectively design a low cost Cognitive Mesh network that promotes efficient resources utilization and thereby achieve better Quality of Service (QoS) levels. 2017-01-25T14:10:57Z 2017-01-25T14:10:57Z 2016 Doctoral Thesis Doctoral PhD http://hdl.handle.net/11427/23057 eng application/pdf Department of Computer Science Faculty of Science University of Cape Town |
| spellingShingle | Computer Science Nleya, Sindiso M Design and optimisation of a low cost Cognitive Mesh Network |
| thesis_degree_str | Doctoral |
| title | Design and optimisation of a low cost Cognitive Mesh Network |
| title_full | Design and optimisation of a low cost Cognitive Mesh Network |
| title_fullStr | Design and optimisation of a low cost Cognitive Mesh Network |
| title_full_unstemmed | Design and optimisation of a low cost Cognitive Mesh Network |
| title_short | Design and optimisation of a low cost Cognitive Mesh Network |
| title_sort | design and optimisation of a low cost cognitive mesh network |
| topic | Computer Science |
| url | http://hdl.handle.net/11427/23057 |
| work_keys_str_mv | AT nleyasindisom designandoptimisationofalowcostcognitivemeshnetwork |