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An energy-efficient sensing matrix for wireless multimedia sensor networks
Dissertation (MEng (Electronic Engineering))--University of Pretoria, 2023.
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| Format: | Thesis |
| Language: | English |
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University of Pretoria
2024
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| _version_ | 1867613574551044096 |
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| access_status_str | Open Access |
| author2 | Abu-Mahfouz, Adnan |
| author_browse | Abu-Mahfouz, Adnan |
| author_facet | Abu-Mahfouz, Adnan |
| collection | Thesis |
| dc_rights_str_mv | © 2023 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. |
| description | Dissertation (MEng (Electronic Engineering))--University of Pretoria, 2023. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/94447 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:38:18.923Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | University of Pretoria |
| publisherStr | University of Pretoria |
| record_format | dspace |
| source_str | UPSpace — University of Pretoria Institutional Repository |
| spelling | oai:repository.up.ac.za:2263/94447 An energy-efficient sensing matrix for wireless multimedia sensor networks Abu-Mahfouz, Adnan u04318218@tuks.co.za Skosana, Vusi Josias UCTD Compressive sensing Wireless multimedia sensor networks Energy efficiency Chaotic sequences Image quality Partial canonical identity matrix Sustainable Development Goals (SDGs) Engineering, built environment and information technology theses SDG-11 SDG-11: Sustainable cities and communities Dissertation (MEng (Electronic Engineering))--University of Pretoria, 2023. A Wireless Multimedia Sensor Network (WMSN) make possible new surveillance applications in environments that traditional systems would not handle, including search and rescue operations after a disaster. However, WMSNs ought to perform under energy-constrained conditions that insist on novel compression methods to diminish bandwidth usage and extend network lifespan. Compressed Sensing (CS) was presented as a means to achieve overcome the challenges faced by WMSNs. A sensing matrix is crucial to the compressed sensing framework. The sensing matrix can maintain the fidelity of a compressed signal, diminish the sampling rate obligation and improve the strength and performance of the recovery algorithm. A great number of measurement matrices have been proposed to either offer reduced computational complexity or good recovery performance, but only some have managed to accomplish both, and even fewer have been proven in a compelling manner. There are images that do not lend themselves to compression, and to maintain Quality of Service (QoS) expectations, adaptive sampling is essential. Low-performance nodes are essential for making WMSN practical and flexible. Different low-performance nodes have been proposed in the literature, but the Telos Revision B (TelosB) sensor module (mote) can be used as a reference for energy-constrained applications. TelosB is a very low power wireless mote for research and experimentation. The design of sensing matrices has been influenced by practical considerations in WSN. The two major innovations have replaced floating point numbers with bipolar and binary entries and sparse sensing matrices. The Deterministic Partial Canonical Identity (DPCI) matrix was presented to address the needs of an energy-constrained environment for WMSN. The choices of random number generators were discussed, and criteria were developed for selection. Complexity optimisation was undertaken to improve the time complexity of the construction. The DPCI was outperformed by the Deterministic Binary Block Diagonal (DBBD) and Binary Permuted Block Diagonal (BPBD) in terms of recovery performance but gave a substantial computational cost reduction. The DPCI gives a compelling balance between recovery performance and energy efficiency, benefiting energy-sensitive applications. A recovery performance prediction algorithm was also proposed to be used for an adaptive sampling scheme. Electrical, Electronic and Computer Engineering MEng (Electronic Engineering) Unrestricted Faculty of Engineering, Built Environment and Information Technology 2024-02-12T07:55:51Z 2024-02-12T07:55:51Z 2024-04-22 2023-08-22 Dissertation * A2024 http://hdl.handle.net/2263/94447 https://doi.org/10.25403/UPresearchdata.25174799 en © 2023 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria |
| spellingShingle | UCTD Compressive sensing Wireless multimedia sensor networks Energy efficiency Chaotic sequences Image quality Partial canonical identity matrix Sustainable Development Goals (SDGs) Engineering, built environment and information technology theses SDG-11 SDG-11: Sustainable cities and communities An energy-efficient sensing matrix for wireless multimedia sensor networks |
| title | An energy-efficient sensing matrix for wireless multimedia sensor networks |
| title_full | An energy-efficient sensing matrix for wireless multimedia sensor networks |
| title_fullStr | An energy-efficient sensing matrix for wireless multimedia sensor networks |
| title_full_unstemmed | An energy-efficient sensing matrix for wireless multimedia sensor networks |
| title_short | An energy-efficient sensing matrix for wireless multimedia sensor networks |
| title_sort | energy efficient sensing matrix for wireless multimedia sensor networks |
| topic | UCTD Compressive sensing Wireless multimedia sensor networks Energy efficiency Chaotic sequences Image quality Partial canonical identity matrix Sustainable Development Goals (SDGs) Engineering, built environment and information technology theses SDG-11 SDG-11: Sustainable cities and communities |
| url | http://hdl.handle.net/2263/94447 https://doi.org/10.25403/UPresearchdata.25174799 |