Tiny block-size coding for energy-efficient image compression and communication in wireless camera sensor networks

Durán-Faúndez, Cristian; Lecuire, Vincent; Lepage, Francis

doi:10.1016/j.image.2011.07.005

Cited by 33 publications

(17 citation statements)

References 10 publications

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“…The simulation model implements the transmission of real image files by taking into account all communication layers. We use a suitable image format for sensor networks that combines robustness with respect to loss, low power consumption for compression and small file size [32], [33]. An image has 320x320 pixels with 256 gray levels for a size of 17.199 bytes.…”

Section: Simulation Resultsmentioning

confidence: 99%

Best cover set selection with multi-criteria approach in mission-critical surveillance for Wireless Image Sensor Networks

Diop¹,

Pham

Thiaré

2012

2012 IFIP Wireless Days

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Abstract-Mission-critical surveillance applications such as intrusion detection or disaster response have vital requirement in QoS. We consider a Wireless Image Sensor Network (WISN) with a scheduling of image sensor node's activity based on the application criticality level. This approach allows sentry nodes capable of detecting intrusions with a higher probability and alerting neighbor nodes as well as activating one of its cover sets for disambiguation purposes for instance. In this paper, we propose a multi-criteria approach to select the suitable cover set for reliable transmission of images in mission-critical applications. The proposed approach takes into account cover set size and energy, topology and routing information that affect the image quality at the sink in a multi-hop transmission network. The results show that our proposal provides low packet loss probability, low latency, and higher visual quality of received images at the Sink.

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Section: Simulation Resultsmentioning

confidence: 99%

Best cover set selection with multi-criteria approach in mission-critical surveillance for Wireless Image Sensor Networks

Diop¹,

Pham

Thiaré

2012

2012 IFIP Wireless Days

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“…In image processing, many compression algorithms divide the image into blocks of pixels, and then, they apply some transform over each block. For example, the JPEG algorithm works over blocks of

8 \times 8

pixels; the TiBsalgorithm works over blocks of

2 \times 2

pixels [17], and so on. For simplicity (and this is the principle adopted in this paper), many interleaving-based schemes consider packetizing each block as a whole in one packet, so the entire block is either received or lost.…”

Section: Proposalmentioning

confidence: 99%

A Genetic Algorithm for the Generation of Packetization Masks for Robust Image Communication

Zapata-Quiñones

Durán-Faúndez

Gutiérrez

et al. 2017

Sensors

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Image interleaving has proven to be an effective solution to provide the robustness of image communication systems when resource limitations make reliable protocols unsuitable (e.g., in wireless camera sensor networks); however, the search for optimal interleaving patterns is scarcely tackled in the literature. In 2008, Rombaut et al. presented an interesting approach introducing a packetization mask generator based in Simulated Annealing (SA), including a cost function, which allows assessing the suitability of a packetization pattern, avoiding extensive simulations. In this work, we present a complementary study about the non-trivial problem of generating optimal packetization patterns. We propose a genetic algorithm, as an alternative to the cited work, adopting the mentioned cost function, then comparing it to the SA approach and a torus automorphism interleaver. In addition, we engage the validation of the cost function and provide results attempting to conclude about its implication in the quality of reconstructed images. Several scenarios based on visual sensor networks applications were tested in a computer application. Results in terms of the selected cost function and image quality metric PSNR show that our algorithm presents similar results to the other approaches. Finally, we discuss the obtained results and comment about open research challenges.

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“…Results show that improvements in the quality of the reconstructed images can be achieved in presence of high packet loss rates, without excessively increase resource consumptions. Same technique is applied in [10] for the case of images compressed in independent blocks of pixels. In this work we will evaluate three representative interleaving technique found in the literature.…”

Section: Related Workmentioning

confidence: 99%

Evaluation of block interleaving techniques for robust image communication in wireless camera sensor networks

Orellana-Romero

SanMartin-Hernandez

Durán-Faúndez

et al. 2014

2014 IEEE Conference on Wireless Sensors (ICWiSE)

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We study block interleaving techniques for enhancing robustness against packet loss on wireless vision sensor networks. We evaluate three techniques: DSJ-AL interleaving, Turner and Peterson (TP) technique, and Torus Automorphisms (TA). Results in terms of image quality, obtained trough extensive simulations over monochromatic images, show the improvements provided by interleaving techniques in comparison with a sequential communication, with a slight favor to TA.

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Tiny block-size coding for energy-efficient image compression and communication in wireless camera sensor networks

Cited by 33 publications

References 10 publications

Best cover set selection with multi-criteria approach in mission-critical surveillance for Wireless Image Sensor Networks

Best cover set selection with multi-criteria approach in mission-critical surveillance for Wireless Image Sensor Networks

A Genetic Algorithm for the Generation of Packetization Masks for Robust Image Communication

Evaluation of block interleaving techniques for robust image communication in wireless camera sensor networks

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