Abstract
With the goal of addressing the issue of image compression in wireless multimedia sensor networks with high recovered quality and low energy consumption, an image compression and transmission scheme based on non-negative matrix factorization (NMF) is proposed in this paper. First, the NMF algorithm theory is studied. Then, a collaborative mechanism of image capture, block, compression and transmission is completed. Camera nodes capture images and send them to ordinary nodes which use an NMF algorithm for image compression. Compressed images are transmitted to the station by the cluster head node and received from ordinary nodes. The station takes on the image restoration. Simulation results show that, compared with the JPEG2000 and singular value decomposition (SVD) compression schemes, the proposed scheme has a higher quality of recovered images and lower total node energy consumption. It is beneficial to reduce the burden of energy consumption and prolong the life of the whole network system, which has great significance for practical applications of WMSNs.
Highlights
Wireless multimedia sensor networks (WMSNs) are a new type of distributed sensing network.They mainly consist of a set of multimedia sensor nodes capable of computing, storing and communicating [1]
WMSNs can perceive a variety of media information from the surrounding environment which are sensed by multimedia sensor nodes, including images, video, numerical, audio and other information
WMSNs is a specific development of traditional wireless sensor networks (WSNs) for this application
Summary
Wireless multimedia sensor networks (WMSNs) are a new type of distributed sensing network. Only one or two nodes wake up to monitor the implementation of image collection when an event occurs in view of the above limitations At this time, the strategy adopted to reduce energy consumption mainly includes compression and transmission of the captured image. While taking advantage of node cooperation, a characteristic of WMSNs, compression tasks are decomposed efficiently It can make full use of the resources of each ordinary node and maintain a more balanced energy state to avoid instant incapacitation in the network, so that we can reduce energy consumption and extend the life cycle of the network, while partly reducing the noise of the image. The application fields for this scheme could be expanded to include video monitoring in various scenarios
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