Power Efficient Clustering for Wireless Multimedia Sensor Network
The availability of inexpensive hardware such as CMOS cameras and microphones has fostered the development of wireless multimedia sensor networks (WMSNs). In WMSNs, wirelessly interconnected devices enable ubiquitously retrieving multimedia contents such as video and audio streams, and still images...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2014-04-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2014/148595 |
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| _version_ | 1849408888683626496 |
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| author | Seng-Kyoun Jo Muhammad Ikram Ilgu Jung Won Ryu Jinsul Kim |
| author_facet | Seng-Kyoun Jo Muhammad Ikram Ilgu Jung Won Ryu Jinsul Kim |
| author_sort | Seng-Kyoun Jo |
| collection | DOAJ |
| description | The availability of inexpensive hardware such as CMOS cameras and microphones has fostered the development of wireless multimedia sensor networks (WMSNs). In WMSNs, wirelessly interconnected devices enable ubiquitously retrieving multimedia contents such as video and audio streams, and still images along with scalar data from surroundings for wide range of applications are constrained by processing, memory, and power resources. Image compression via low-complexity and resource efficient transforms has been addressed by several researchers to prolong network lifetime where energy conservation is achieved through sharing computational load among sensor nodes and by adjusting the transmission ranges of camera nodes. However, those schemes are not adaptive to the presence and changes of energy level of computational sensor nodes and to the amount of computational load. We propose a resource and energy efficient distributed image compression algorithm that dynamically configures according to the energy levels and the forwarding strategy that is based on the entropy of the image. The simulation results show that our adaptive distributed image compression scheme significantly prolongs the network lifetime and improves the network utilization efficiency, while maintaining adequate image quality. |
| format | Article |
| id | doaj-art-7ecbd24404ea404d843c10bf4989f710 |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2014-04-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-7ecbd24404ea404d843c10bf4989f7102025-08-20T03:35:40ZengWileyInternational Journal of Distributed Sensor Networks1550-14772014-04-011010.1155/2014/148595148595Power Efficient Clustering for Wireless Multimedia Sensor NetworkSeng-Kyoun Jo0Muhammad Ikram1Ilgu Jung2Won Ryu3Jinsul Kim4 ETRI, 218 Gajeong-ro, Yuseong-gu, Daejeon 305-700, Republic of Korea Darmstadt University of Technology, Hochschulstraße 10, 64289 Darmstadt, Germany ETRI, 218 Gajeong-ro, Yuseong-gu, Daejeon 305-700, Republic of Korea ETRI, 218 Gajeong-ro, Yuseong-gu, Daejeon 305-700, Republic of Korea Chonnam National University, 77 Yongbong-ro, Buk-gu, Gwangju 500-757, Republic of KoreaThe availability of inexpensive hardware such as CMOS cameras and microphones has fostered the development of wireless multimedia sensor networks (WMSNs). In WMSNs, wirelessly interconnected devices enable ubiquitously retrieving multimedia contents such as video and audio streams, and still images along with scalar data from surroundings for wide range of applications are constrained by processing, memory, and power resources. Image compression via low-complexity and resource efficient transforms has been addressed by several researchers to prolong network lifetime where energy conservation is achieved through sharing computational load among sensor nodes and by adjusting the transmission ranges of camera nodes. However, those schemes are not adaptive to the presence and changes of energy level of computational sensor nodes and to the amount of computational load. We propose a resource and energy efficient distributed image compression algorithm that dynamically configures according to the energy levels and the forwarding strategy that is based on the entropy of the image. The simulation results show that our adaptive distributed image compression scheme significantly prolongs the network lifetime and improves the network utilization efficiency, while maintaining adequate image quality.https://doi.org/10.1155/2014/148595 |
| spellingShingle | Seng-Kyoun Jo Muhammad Ikram Ilgu Jung Won Ryu Jinsul Kim Power Efficient Clustering for Wireless Multimedia Sensor Network International Journal of Distributed Sensor Networks |
| title | Power Efficient Clustering for Wireless Multimedia Sensor Network |
| title_full | Power Efficient Clustering for Wireless Multimedia Sensor Network |
| title_fullStr | Power Efficient Clustering for Wireless Multimedia Sensor Network |
| title_full_unstemmed | Power Efficient Clustering for Wireless Multimedia Sensor Network |
| title_short | Power Efficient Clustering for Wireless Multimedia Sensor Network |
| title_sort | power efficient clustering for wireless multimedia sensor network |
| url | https://doi.org/10.1155/2014/148595 |
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