Performance Comparison of Data Reduction Techniques for Wireless Multimedia Sensor Network Applications
With the increased use of smart phones, Wireless Multimedia Sensor Networks (WMSNs) will have opportunities to deploy such devices in several contexts for data collection and processing. While smart phones come with richer resources and can do complex processing, their battery is still limited. Back...
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| Published in | International journal of distributed sensor networks Vol. 2015; no. 8; p. 873495 |
|---|---|
| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
London, England
Hindawi Publishing Corporation
01.01.2015
SAGE Publications Sage Publications Ltd. (UK) John Wiley & Sons, Inc Wiley |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1550-1329 1550-1477 1550-1477 |
| DOI | 10.1155/2015/873495 |
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| Abstract | With the increased use of smart phones, Wireless Multimedia Sensor Networks (WMSNs) will have opportunities to deploy such devices in several contexts for data collection and processing. While smart phones come with richer resources and can do complex processing, their battery is still limited. Background subtraction (BS) and compression techniques are common data reduction schemes, which have been used for camera sensors to reduce energy consumption in WMSNs. In this paper, we investigate the performance of various BS algorithms and compression techniques in terms of computation and communication energy, time, and quality. We have picked five different BS algorithms and two compression techniques and implemented them in an Android platform. Considering the fact that these BS algorithms will be run within the context of WMSNs where the data is subject to packet losses and errors, we also investigated the performance in terms of packet loss ratio in the network under various packet sizes. The experiment results indicated that the most energy-efficient BS algorithm could also provide the best quality in terms of the foreground detected. The results also indicate that data reduction techniques including BS algorithms and compression techniques can provide significant energy savings in terms of transmission energy costs. |
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| AbstractList | With the increased use of smart phones, Wireless Multimedia Sensor Networks (WMSNs) will have opportunities to deploy such devices in several contexts for data collection and processing. While smart phones come with richer resources and can do complex processing, their battery is still limited. Background subtraction (BS) and compression techniques are common data reduction schemes, which have been used for camera sensors to reduce energy consumption in WMSNs. In this paper, we investigate the performance of various BS algorithms and compression techniques in terms of computation and communication energy, time, and quality. We have picked five different BS algorithms and two compression techniques and implemented them in an Android platform. Considering the fact that these BS algorithms will be run within the context of WMSNs where the data is subject to packet losses and errors, we also investigated the performance in terms of packet loss ratio in the network under various packet sizes. The experiment results indicated that the most energy-efficient BS algorithm could also provide the best quality in terms of the foreground detected. The results also indicate that data reduction techniques including BS algorithms and compression techniques can provide significant energy savings in terms of transmission energy costs. |
| Audience | Academic |
| Author | Akkaya, Kemal Sarisaray-Boluk, Pinar |
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| ContentType | Journal Article |
| Copyright | Copyright © 2015 Pinar Sarisaray-Boluk and Kemal Akkaya. 2015 P. Sarisaray-Boluk and K. Akkaya. COPYRIGHT 2015 Sage Publications Ltd. (UK) Copyright © 2015 Pinar Sarisaray-Boluk and Kemal Akkaya. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
| Copyright_xml | – notice: Copyright © 2015 Pinar Sarisaray-Boluk and Kemal Akkaya. – notice: 2015 P. Sarisaray-Boluk and K. Akkaya. – notice: COPYRIGHT 2015 Sage Publications Ltd. (UK) – notice: Copyright © 2015 Pinar Sarisaray-Boluk and Kemal Akkaya. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
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| SubjectTerms | Algorithms Compressing Data compression Data reduction Electronic data processing Engineering research Methods Multimedia Networks Packets (communication) Sensors Smartphones Wireless sensor networks |
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| Title | Performance Comparison of Data Reduction Techniques for Wireless Multimedia Sensor Network Applications |
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