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2018 International Conference on Advances in Communication and Computing Technology (ICACCT) 2018
DOI: 10.1109/icacct.2018.8529548
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Enhancing Multimedia Compression and Transmission Technique to Aid Energy Efficient Wireless Multimedia Sensor Network

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Cited by 5 publications
(3 citation statements)
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“…Patel and Chaudhary improved multimedia compression and transmission technique to aid energy efficient wireless multimedia sensor network [27]. Chatei et al utilized an efficient coding technique to handle the intercommunication in wireless multimedia sensor networks [28]. Lin et al designed a reconstruction algorithm for lost frame of multiview videos in wireless multimedia sensor network based on deep learning multilayer perceptron regression [29].…”
Section: Literature Surveymentioning
confidence: 99%
See 1 more Smart Citation
“…Patel and Chaudhary improved multimedia compression and transmission technique to aid energy efficient wireless multimedia sensor network [27]. Chatei et al utilized an efficient coding technique to handle the intercommunication in wireless multimedia sensor networks [28]. Lin et al designed a reconstruction algorithm for lost frame of multiview videos in wireless multimedia sensor network based on deep learning multilayer perceptron regression [29].…”
Section: Literature Surveymentioning
confidence: 99%
“…Agnihotri et al simulated different MAC protocol for wireless multimedia sensor network to restrict the access of resources and to avoid congestion [30]. However, techniques used in [25], [26], [27], [28], [29] and [30] are unable to resist various types of security attacks.…”
Section: Literature Surveymentioning
confidence: 99%
“…This overlapped information lead to redundant data transmission in the network which leads to reduction in network lifetime.SPIHT based lifting wavelet based compression algorithm [3] uses adaptive compression algorithm which is best suitable for power hungry network. A hybrid SVD-DWT-DCT [4] based compression algorithm uses clustering approach where computation is distributed among the nodes. The advantages of this technique are to maintain low complexity with considerable image quality and greater compression ratio.…”
Section: Introductionmentioning
confidence: 99%