Proceedings ArticleDOI
Balancing computational and transmission power consumption in wireless image sensor networks
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TLDR
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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Design of Wireless Vision Sensor Network for Smart Home
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Data Compression for Image Sensor Arrays Using a 15-bit Two-Step Sigma-Delta ADC
Mengyun Yue,Dong Wu,Zheyao Wang +2 more
TL;DR: The preliminary results have demonstrated the feasibility and the effectiveness of the proposed compression method, and the advantages are the embedded and simple circuits, considerable speed and storage space improvement, and low power consumption.
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A CMOS Ultra-Low Power Vision Sensor With Image Compression and Embedded Event-Driven Energy-Management
TL;DR: An energy-aware CMOS vision sensor, targeted to surveillance and monitoring applications, that embeds event detection and energy management capabilities, which meet the requirements of an energy autonomous system.
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Analysis of quantities influencing the performance of time synchronization based on linear regression in low cost WSNs
TL;DR: A deep performance analysis is proposed aimed at highlighting the sensitivity of the regression-based algorithms to some factors that influence the accuracy in typical low cost applications, such as the finite resolution of the local timing clock and the presence of clock drift, clock high frequency noise and low frequency noise.
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Design and performance analysis of a zonal DCT-based image encoder for Wireless Camera Sensor Networks
Med Lassaad Kaddachi,Adel Soudani,Vincent Lecuire,Leila Makkaoui,Jean-Marie Moureaux,Kholdoun Torki +5 more
TL;DR: This paper addresses the problem of low power consumption and real time constraints for image communication in wireless camera sensor networks (WCSN) by presenting a low-complexity hardware implementation of JPEG-like encoder for image compression and paquetization.
References
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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.