A Study on the Power Consumption of H.264/AVC-Based Video Sensor Network
There is an increasing interest in using video sensor networks (VSNs) as an alternative to existing video monitoring/surveillance applications. Due to the limited amount of energy resources available in VSNs, power consumption efficiency is one of the most important design challenges in VSNs. Video...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2015-10-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2015/304787 |
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| _version_ | 1849471179982635008 |
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| author | Bambang A. B. Sarif Mahsa Pourazad Panos Nasiopoulos Victor C. M. Leung |
| author_facet | Bambang A. B. Sarif Mahsa Pourazad Panos Nasiopoulos Victor C. M. Leung |
| author_sort | Bambang A. B. Sarif |
| collection | DOAJ |
| description | There is an increasing interest in using video sensor networks (VSNs) as an alternative to existing video monitoring/surveillance applications. Due to the limited amount of energy resources available in VSNs, power consumption efficiency is one of the most important design challenges in VSNs. Video encoding contributes to a significant portion of the overall power consumption at the VSN nodes. In this regard, the encoding parameter settings used at each node determine the coding complexity and bitrate of the video. This, in turn, determines the encoding and transmission power consumption of the node and the VSN overall. Therefore, in order to calculate the nodes' power consumption, we need to be able to estimate the coding complexity and bitrate of the video. In this paper, we modeled the coding complexity and bitrate of the H.264/AVC encoder, based on the encoding parameter settings used. We also propose a method to reduce the model estimation error for videos whose content changes within a specified period of time. We have conducted our experiments using a large video dataset captured from real-life applications in the analysis. Using the proposed model, we show how to estimate the VSN power consumption for a given topology. |
| format | Article |
| id | doaj-art-d020ad0fdca5477aa2a1679cb81ca3aa |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2015-10-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-d020ad0fdca5477aa2a1679cb81ca3aa2025-08-20T03:24:55ZengWileyInternational Journal of Distributed Sensor Networks1550-14772015-10-011110.1155/2015/304787304787A Study on the Power Consumption of H.264/AVC-Based Video Sensor NetworkBambang A. B. Sarif0Mahsa Pourazad1Panos Nasiopoulos2Victor C. M. Leung3 Department of Electrical and Computer Engineering, The University of British Columbia, Vancouver, BC, Canada, V6T 1Z4 TELUS Communications Inc., 555 Robson Street, Vancouver, BC, Canada, V6B 3K9 Department of Electrical and Computer Engineering, The University of British Columbia, Vancouver, BC, Canada, V6T 1Z4 Department of Electrical and Computer Engineering, The University of British Columbia, Vancouver, BC, Canada, V6T 1Z4There is an increasing interest in using video sensor networks (VSNs) as an alternative to existing video monitoring/surveillance applications. Due to the limited amount of energy resources available in VSNs, power consumption efficiency is one of the most important design challenges in VSNs. Video encoding contributes to a significant portion of the overall power consumption at the VSN nodes. In this regard, the encoding parameter settings used at each node determine the coding complexity and bitrate of the video. This, in turn, determines the encoding and transmission power consumption of the node and the VSN overall. Therefore, in order to calculate the nodes' power consumption, we need to be able to estimate the coding complexity and bitrate of the video. In this paper, we modeled the coding complexity and bitrate of the H.264/AVC encoder, based on the encoding parameter settings used. We also propose a method to reduce the model estimation error for videos whose content changes within a specified period of time. We have conducted our experiments using a large video dataset captured from real-life applications in the analysis. Using the proposed model, we show how to estimate the VSN power consumption for a given topology.https://doi.org/10.1155/2015/304787 |
| spellingShingle | Bambang A. B. Sarif Mahsa Pourazad Panos Nasiopoulos Victor C. M. Leung A Study on the Power Consumption of H.264/AVC-Based Video Sensor Network International Journal of Distributed Sensor Networks |
| title | A Study on the Power Consumption of H.264/AVC-Based Video Sensor Network |
| title_full | A Study on the Power Consumption of H.264/AVC-Based Video Sensor Network |
| title_fullStr | A Study on the Power Consumption of H.264/AVC-Based Video Sensor Network |
| title_full_unstemmed | A Study on the Power Consumption of H.264/AVC-Based Video Sensor Network |
| title_short | A Study on the Power Consumption of H.264/AVC-Based Video Sensor Network |
| title_sort | study on the power consumption of h 264 avc based video sensor network |
| url | https://doi.org/10.1155/2015/304787 |
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