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With the advancement of communication networks, a great number of multicast applications such as multimedia, video and audio communications have emerged. As a result, energy efficient multicast in wireless networks is becoming increasingly important in the field of Information and Communications Tec...
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| Format: | Thesis |
| Language: | English |
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Department of Electrical Engineering
2016
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| _version_ | 1867613202889572352 |
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| access_status_str | Open Access |
| author | Ajibesin, Adeyemi Abel |
| author2 | Ventura, Neco |
| author_browse | Ajibesin, Adeyemi Abel Ventura, Neco |
| author_facet | Ventura, Neco Ajibesin, Adeyemi Abel |
| author_sort | Ajibesin, Adeyemi Abel |
| collection | Thesis |
| description | With the advancement of communication networks, a great number of multicast applications such as multimedia, video and audio communications have emerged. As a result, energy efficient multicast in wireless networks is becoming increasingly important in the field of Information and Communications Technology (ICT). According to the study by Gartner and Environmental Protection Agency (EPA) report presented to United State Congress in 2007,energy consumption of ICT nodes accounts for 3% of the worldwide energy supply and is responsible for 2% of the global Carbon dioxide (CO2) emission. However, several initiatives are being put in place to reduce the energy consumption of the ICT sector in general. A review of related literature reveals that existing approaches to energy efficient multicast are largely evaluated using a single metric and while the single metric is appropriate for effective performance, it is unsuitable for measuring efficiency adequately. This thesis studied existing coded packet methods for energy efficiency in ad hoc wireless networks and investigates efficiency frontier, which is the expected minimum energy within the minimum energy multicast framework. The energy efficiency performance was based on effective evaluation and there was no way an inefficient network could reach a level of being an efficiency frontier. Hence, this work looked at the position of how true efficiency evaluation is obtained when the entire network under examination attains their efficiency frontiers using ratios of weighted outputs to weighted inputs with multiple variables. To address these challenges and assist network operators when formulating their network policies and performing network administrations, this thesis proposed novel approaches that are based on Data Envelopment Analysis (DEA) methodology to appropriately evaluate the efficiency of multicast energy and further minimizes energy transmission in ad hoc wireless networks without affecting the overall network performance. The DEA, which was used to study the relative efficiency and productivity of systems in Economic and Operational Research disciplines, is a non-parametric method that relies on linear programming technique for optimization of discrete units of observation called the decision making units (DMUs). |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/20323 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:32:24.523Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2016 |
| publishDateRange | 2016 |
| publishDateSort | 2016 |
| publisher | Department of Electrical Engineering |
| publisherStr | Department of Electrical Engineering |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/20323 Novel approaches to performance evaluation and benchmarking for energy-efficient multicast: empirical study of coded packet wireless networks Ajibesin, Adeyemi Abel Ventura, Neco Murgu, Alexandru Chan, H Anthony Electrical Engineering With the advancement of communication networks, a great number of multicast applications such as multimedia, video and audio communications have emerged. As a result, energy efficient multicast in wireless networks is becoming increasingly important in the field of Information and Communications Technology (ICT). According to the study by Gartner and Environmental Protection Agency (EPA) report presented to United State Congress in 2007,energy consumption of ICT nodes accounts for 3% of the worldwide energy supply and is responsible for 2% of the global Carbon dioxide (CO2) emission. However, several initiatives are being put in place to reduce the energy consumption of the ICT sector in general. A review of related literature reveals that existing approaches to energy efficient multicast are largely evaluated using a single metric and while the single metric is appropriate for effective performance, it is unsuitable for measuring efficiency adequately. This thesis studied existing coded packet methods for energy efficiency in ad hoc wireless networks and investigates efficiency frontier, which is the expected minimum energy within the minimum energy multicast framework. The energy efficiency performance was based on effective evaluation and there was no way an inefficient network could reach a level of being an efficiency frontier. Hence, this work looked at the position of how true efficiency evaluation is obtained when the entire network under examination attains their efficiency frontiers using ratios of weighted outputs to weighted inputs with multiple variables. To address these challenges and assist network operators when formulating their network policies and performing network administrations, this thesis proposed novel approaches that are based on Data Envelopment Analysis (DEA) methodology to appropriately evaluate the efficiency of multicast energy and further minimizes energy transmission in ad hoc wireless networks without affecting the overall network performance. The DEA, which was used to study the relative efficiency and productivity of systems in Economic and Operational Research disciplines, is a non-parametric method that relies on linear programming technique for optimization of discrete units of observation called the decision making units (DMUs). 2016-07-13T07:44:30Z 2016-07-13T07:44:30Z 2016 Doctoral Thesis Doctoral PhD http://hdl.handle.net/11427/20323 eng application/pdf Department of Electrical Engineering Faculty of Engineering and the Built Environment University of Cape Town |
| spellingShingle | Electrical Engineering Ajibesin, Adeyemi Abel Novel approaches to performance evaluation and benchmarking for energy-efficient multicast: empirical study of coded packet wireless networks |
| thesis_degree_str | Doctoral |
| title | Novel approaches to performance evaluation and benchmarking for energy-efficient multicast: empirical study of coded packet wireless networks |
| title_full | Novel approaches to performance evaluation and benchmarking for energy-efficient multicast: empirical study of coded packet wireless networks |
| title_fullStr | Novel approaches to performance evaluation and benchmarking for energy-efficient multicast: empirical study of coded packet wireless networks |
| title_full_unstemmed | Novel approaches to performance evaluation and benchmarking for energy-efficient multicast: empirical study of coded packet wireless networks |
| title_short | Novel approaches to performance evaluation and benchmarking for energy-efficient multicast: empirical study of coded packet wireless networks |
| title_sort | novel approaches to performance evaluation and benchmarking for energy efficient multicast empirical study of coded packet wireless networks |
| topic | Electrical Engineering |
| url | http://hdl.handle.net/11427/20323 |
| work_keys_str_mv | AT ajibesinadeyemiabel novelapproachestoperformanceevaluationandbenchmarkingforenergyefficientmulticastempiricalstudyofcodedpacketwirelessnetworks |