Balancing computational and transmission power consumption in wireless image sensor networks

Ferrigno, Luigi; Maranò, Stefano; Paciello, Vincenzo; Pietrosanto, Antonio

doi:10.1109/vecims.2005.1567564

Cited by 111 publications

(89 citation statements)

References 14 publications

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“…Another interesting work is presented in [25], where the authors address the problem of reducing energy consumption. The authors' aim is to find the most efficient compression algorithm achieving the best compromise between the quality of the reconstructed image and the energy consumption.…”

Section: Dct-based Methods For Vsnmentioning

confidence: 99%

A Survey of Image Compression Algorithms for Visual Sensor Networks

Mammeri

Hadjou

Khoumsi

2012

ISRN Sensor Networks

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With the advent of visual sensor networks (VSNs), energy-aware compression algorithms have gained wide attention. That is, new strategies and mechanisms for power-efficient image compression algorithms are developed, since the application of the conventional methods is not always energy beneficial. In this paper, we provide a survey of image compression algorithms for visual sensor networks, ranging from the conventional standards such as JPEG and JPEG2000 to a new compression method, for example, compressive sensing. We provide the advantages and shortcomings of the application of these algorithms in VSN, a literature review of their application in VSN, as well as an open research issue for each compression standard/method. Moreover, factors influencing the design of compression algorithms in the context of VSN are presented. We conclude by some guidelines which concern the design of a compression method for VSN.

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Section: Dct-based Methods For Vsnmentioning

confidence: 99%

A Survey of Image Compression Algorithms for Visual Sensor Networks

Mammeri

Hadjou

Khoumsi

2012

ISRN Sensor Networks

View full text Add to dashboard Cite

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“…In our previous work on the multirate signal processing platform over WSN [7][8] , the average energy consumption of transmitting and receiving a data packet can be expressed in Equation (1). [8] .…”

Section: Energy Consumption Of Multirate Imagementioning

confidence: 99%

“…The digital image is transmitted between sensor nodes, by applying uniform protection and transmission [1,10] , layer oriented transmission [2,9] , and the proposed component based transmission schemes. Performance data such as energy consumption and the reconstructed image PSNR values are recorded and compared.…”

Section: Simulationmentioning

confidence: 99%

“…Recent advances in image processing, Radio Frequency (RF) and micro-electronic technologies have brought enormous development of image transmission over Wireless Sensor Networks (WSN) [1] . Unlike usual image transmission designs in wireless environment, energy efficiency has the highest priority in WSN.…”

Section: Introductionmentioning

confidence: 99%

“…Again, this approach is still image-layer (or level, hierarchy) oriented, without considering the unequal importance between the structure information and magnitude information. Researches in [1] and [10] investigate the tradeoff between energy consumption and image quality. By balancing computational energy consumption and transmission energy through image compression, energy efficient transmission in WSN is achieved.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Novel Image Component Transmission Approach to Improve Image Quality and Energy Efficiency in Wireless Sensor Networks

Wang¹,

Peng²,

Wang³

et al. 2007

J. of Computer Science

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Due to resource constraints, digital image transmissions are a significant challenge for image sensor based Wireless Sensor Networks (WSN). In this paper, we propose a novel robust and energy-efficient scheme, called Image Component Transmission (ICT) in WSN by providing various levels of reliability during image transmissions. Different components in the embedded wavelet image bit stream are considered and essential components of the compressed image such as the information for the positions of significant wavelet coefficients are transmitted with higher quality assurance. Relatively less important components such as the information for the values of pixels are transmitted with lower overhead. Simulation results show the proposed scheme achieves higher energy efficiency in WSN, with image transmission quality enhanced considerably by up to 6dB in terms of the Peak Signal to Noise Ratio (PSNR).

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Perceptual quality‐based image communication service framework for wireless sensor networks

Boluk

Baydere

Harmanci

2011

Wireless Communications

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Wireless multimedia sensor networks (WMSNs) have an increasing variety of multimedia-based applications including image and video transmission. In these types of applications, multimedia sensor nodes should ideally maximize perceptual quality and minimize energy expenditures in communication. For the required perceptual quality to be obtained, qualityaware routing is a key research area in WMSNs. However, mapping the system parameters to the end user's perceptual quality-of-service measures is a challenging task because of incomplete identification metrics. Unfortunately, unless disputable assumptions and simplifications are made, optimal routing algorithm is not tractable. In this paper, we propose a novel image transmission framework to optimize both perceptual quality and energy expenditure in WMSNs. Our framework aims to provide acceptable perceptual quality at the end user by using an analytical distortion prediction model that is able to predict the image distortion resulting from any given error pattern. The innovation of the proposed scheme lies in the combined use of a content-aware packet prioritization with an energy-aware and quality-aware routing protocol, named as image quality-aware routing. Additionally, it does not only propose an energy-efficient route selection policy but also manages the network load according to the energy residues of nodes, thus leading to a great energy economy. The results reveal that the framework is capable of identifying true metrics for mapping required image quality to network parameters.

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Balancing computational and transmission power consumption in wireless image sensor networks

Cited by 111 publications

References 14 publications

A Survey of Image Compression Algorithms for Visual Sensor Networks

A Survey of Image Compression Algorithms for Visual Sensor Networks

A Novel Image Component Transmission Approach to Improve Image Quality and Energy Efficiency in Wireless Sensor Networks

Perceptual quality‐based image communication service framework for wireless sensor networks

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