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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.

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Book ChapterDOI

Energy Consumption and Data Amount Reduction Using Object Detection on Embedded Platform

TL;DR: The results show that object extraction on a node can provide reduction of the data amount by up to three orders of magnitude, while simple algorithms can lead to lower overall energy consumption of the node, the more complex algorithm provides better performances, but at a cost of prohibitively high energy consumption.
References
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Journal ArticleDOI

A survey on sensor networks

TL;DR: The current state of the art of sensor networks is captured in this article, where solutions are discussed under their related protocol stack layer sections.
Journal ArticleDOI

Wireless integrated network sensors

TL;DR: The WINS network represents a new monitoring and control capability for applications in such industries as transportation, manufacturing, health care, environmental oversight, and safety and security, and opportunities depend on development of a scalable, low-cost, sensor-network architecture.
Journal ArticleDOI

Energy-aware wireless microsensor networks

TL;DR: This article presents a suite of techniques that perform aggressive energy optimization while targeting all stages of sensor network design, from individual nodes to the entire network.
Journal ArticleDOI

Image quality measures and their performance

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?

Bernd Girod
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.
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