Proceedings ArticleDOI
Balancing computational and transmission power consumption in wireless image sensor networks
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This methodology, based on a balancing between processing and transmission tasks, can be applied in all those situations where subjective image based measurements are required and tries to find the best compression ratio able to give a significant reduction of transmission time.Abstract:
The paper presents a methodology to reduce the energy consumption of visual sensor node in wireless sensor networks. This methodology, based on a balancing between processing and transmission tasks, can be applied in all those situations where subjective image based measurements are required. Considering that in a sensor node, the communication task is the most energy consumption, the proposed method tries to find the best compression ratio able to give a significant reduction of transmission time, returning adequate and objective image quality and compression time. Some results are presented applying the proposed methodology to the particular case study: the use of wireless visual sensors to the remote metering of water counters.read more
Citations
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Energy-Efficient SRAM FPGA-Based Wireless Vision Sensor Node: SENTIOF-CAM
TL;DR: A low-complexity, energy-efficient, and reconfigurable VSN architecture based on SRAM FPGA using a design matrix, which includes tasks' partitioning, a low- complexity background subtraction, bilevel coding, and duty cycling is presented.
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Error resilient image communication with chaotic pixel interleaving for wireless camera sensors
TL;DR: A pixel interleaving scheme based in Torus Automorphisms is proposed, thus, neighboring pixels are transmitted in different packets, so that if packets are lost, there is a high probability of retrieving enough information to obtain an approximation of the original value.
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Adaptive image transfer for wireless sensor networks (WSNs)
TL;DR: This paper describes an approach of image transmission in WSNs, taking advantage of JPEG2000 still image compression standard and using MATLAB and C from Jasper, and shows that the proposed scheme optimizes network lifetime and reduces significantly the amount of required memory.
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Exploration of local and central processing for a wireless camera based sensor node
TL;DR: The results show that sending compressed images after segmentation will result in a longer life for the sensor node, and an optimal point for intelligence partitioning between the sensor nodes and the central base station is determined by exploring compression methods.
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Quality aware image transmission over underwater multimedia sensor networks
TL;DR: A comprehensive performance evaluation of error concealment and error correction algorithms for quality-aware image transmission over UMSNs to combat underwater channel impairments and mitigate packet losses due to node failures and intrinsic underwater acoustic channel characteristics is presented.
References
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Image quality measures and their performance
A.M. Eskicioglu,P.S. Fisher +1 more
TL;DR: Although some numerical measures correlate well with the observers' response for a given compression technique, they are not reliable for an evaluation across different techniques, and a graphical measure called Hosaka plots can be used to appropriately specify not only the amount, but also the type of degradation in reconstructed images.
Book
What's wrong with mean-squared error?
TL;DR: The invention relates to a spark plug tightener with a cylindrical housing having on one end a multi-faceted opening for engaging the spark plug and on the other end an annular shaped profile in front view through which passes a turning shaft.