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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Journal ArticleDOI
A Survey of Visual Sensor Networks
TL;DR: An overview of the current state-of-the-art in the field of visual sensor networks is provided, by exploring several relevant research directions to provide a better understanding of current research problems in the different research fields ofVisual sensor networks.
Journal ArticleDOI
A 100 $\mu$ W 128 $\times$ 64 Pixels Contrast-Based Asynchronous Binary Vision Sensor for Sensor Networks Applications
TL;DR: An ultra-low power 128 times 64 pixels vision sensor is here presented, featuring pixel-level spatial contrast extraction and binarization, and the pixel-embedded binary frame buffer allows the sensor to directly process visual information, such as motion and background subtraction, which are the most useful filters in machine vision applications.
Journal ArticleDOI
Data compression techniques in Wireless Sensor Networks
TL;DR: DCT and DWT compression techniques are analyzed and implemented using TinyOS on a hardware platform TelosB and experimental results show that the overall performance of DWT is better than DCT, and DCT provides better compression ratio than DWT.
Journal ArticleDOI
A Survey on Multimedia-Based Cross-Layer Optimization in Visual Sensor Networks
TL;DR: This paper surveys recent research on multimedia-based cross-layer optimization, presenting the proposed strategies and mechanisms for transmission rate adjustment, congestion control, multipath selection, energy preservation and error recovery.
Journal ArticleDOI
Highly Reliable and Low-Complexity Image Compression Scheme Using Neighborhood Correlation Sequence Algorithm in WSN
TL;DR: This article introduces a highly reliable and low-complexity image compression scheme using neighborhood correlation sequence (NCS) algorithm that increases the compression performance and decreases the energy utilization of the sensor nodes with high fidelity.
References
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Proceedings ArticleDOI
A discussion about stereo vision techniques for industrial image-based measurement systems
TL;DR: Two implicit calibration algorithms for the reconstruction of 30 real world coordinafes of objects from pairs of 2D image coordinates have been implemented and compared and the results of a not exhaustive comparison are reported.
Journal ArticleDOI
A VXI instrument for real-time tracking of impedances
TL;DR: In this paper, a VXI instrument for impedance measurements, equipped with a TMS320C30 Digital Signal Processor, is presented, which is mainly oriented in increasing the instrument throughput.