Abstract
Aiming at saving energy and maximizing the network life cycle, the multi-node cooperative image acquisition and compression technology in Wireless Multimedia Sensor Networks(WMSNs) is studied deeply. The Minimum Energy Image Collection (MEIC) problem for multiple target domains in a certain period of time in the monitoring area is proposed, the integer linear programming for Minimum Energy Image Collection (MEIC) problem is described and proved to be NP complete; then combined with the features of image acquisition of camera node, the Local Camera Coordinative Energy-saving Strategy (LCCES) is proposed, and the performance of the Local Camera Coordinative Energy-saving Strategy (LCCES) is evaluated through a lot of simulation experiments; finally, the LBT-based Multi-node Cooperative Image Compression Scheme (LBT-MCIC) is proposed. The results show that this strategy can effectively reduce the number of active camera nodes in the process of image acquisition, thus reducing the energy consumption of image acquisition. At the same time, it also plays a role in balancing the energy consumption of camera nodes in the network, effectively solves the problem of high cost of common nodes in the image transmission scheme of two-hop cluster structure and has the characteristics of low computational complexity and high quality of reconstructed image.
Highlights
Wireless Sensor Networks (WSNs) are an important wireless network that has emerged in recent years and are considered to be one of the most important technologies in the 21st century
It can be concluded from the figure that the number of active camera nodes is larger with the RDCCW mechanism in the image acquisition process
The LBT algorithm uses binLBT and the JPEG2000 algorithm uses binary CDF9/7 (5-level wavelet transform). It can be concluded from the figure 7 that whether it is measured by peak signal-to-noise ratio (PSNR value) or subjective evaluation, the reconstructed image quality of LBT image compression algorithm is much better than JPEG2000 at high compression ratio, so it is more suitable for multi-node collaborative implementation in Wireless Multimedia Sensor Networks (WMSNs)
Summary
Wireless Sensor Networks (WSNs) are an important wireless network that has emerged in recent years and are considered to be one of the most important technologies in the 21st century. In the 2003 MIT Technical Review on Predicting Future Technological Developments, WSNs were listed as one of the top 10 new technologies to change the world. American Business Weekly published an article in its "Future Technology Special Edition", pointing out that WSNs are one of the world's four high-tech industries in the future, and will set off a new industrial wave [1]. Due to design constraints, these general WSNs are unable to obtain informative multimedia information or have limited ability to obtain such information.
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