Hardware compression scheme based on low complexity arithmetic encoding for low power image transmission over WSNs

Chefi, Ahmed; Soudani, Adel; Sicard, Gilles

doi:10.1016/j.aeue.2013.08.006

Cited by 21 publications

(21 citation statements)

References 15 publications

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“…The cost of this superiority is a higher computational complexity. By cons, the final cost (energy consumption and memory footprint) of both processing and transmission of the compressed image is much better in the case of wavelet-transform-based encoders [4,5]. The proposed scheme is built around Haar wavelet transform (HWT) applied with SPIHT encoder and a low-complexity release of arithmetic encoding.…”

Section: The Proposed Image Compression Techniquementioning

confidence: 99%

SPIHT-based image compression scheme for energy conservation over wireless vision sensor networks

Chefi

Sicard

2014

2014 21st IEEE International Conference on Electronics, Circuits and Systems (ICECS)

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Wireless Sensor Networks (WSNs) are known to be greatly energy-constrained, especially for vision-based applications. Image compression can provide energy efficiency by reducing the data flow to be transmitted at the cost of more computation. The compression scheme must be designed with respect to the tradeoff between computational complexity and compression ratio. The aim of this paper is to present and evaluate software and hardware implementations of lowcomplexity encoder designed to respect the resource constraints of WSNs. The proposed image compression scheme will be considered as a co-processor enabling low power computation and communication over WSNs. This paper presents a performance evaluation of the proposed technique for both software and hardware implementations, with relevant comparisons to some related works.

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Section: The Proposed Image Compression Techniquementioning

confidence: 99%

SPIHT-based image compression scheme for energy conservation over wireless vision sensor networks

Chefi

Sicard

2014

2014 21st IEEE International Conference on Electronics, Circuits and Systems (ICECS)

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“…The mix of packet marking and logging compromise the storage capacity and communication overhead to some extent [25], but in general it does not change the situation of large energy consumption and large requirement of storage capacity near Sink area, but much storage capacity left in area far from Sink area. That imposes negative affect to the performance of these strategies [30].…”

Section: Introductionmentioning

confidence: 99%

A novel joint logging and migrating traceback scheme for achieving low storage requirement and long lifetime in WSNs

Liu

2015

AEU - International Journal of Electronics and Communications

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“…Since the power consumption is proportional to the number of bits to be transmitted that represents the multimedia information, then, as a first reflection, reducing this amount of data will help to reduce the power consumption. However, most of the research works concerning image compression in WMSN have noticed that classical compression methods for video and image are not suitable to be processed within weak hardware capabilities characterizing the wireless sensor nodes [11,15].…”

Section: Introductionmentioning

confidence: 99%

A Shape-Based Object Identification Scheme in Wireless Multimedia Sensor Networks

Alhilal

Soudani

Al-Dhelaan

2015

Advances in Intelligent Systems and Computing

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Abstract. Multimedia communication is highly attractive in Wireless MultimediaSensor Networks (WMSN) due to their wealth of information's. However, the transmission of multimedia information such as image and video requires a specific scheme and an efficient communication protocol. In fact, the performances of multimedia based applications on WMSN are highly dependent on the capabilities of the designer to provide low-power data processing and energy-aware communication protocols. This chapter presents a contribution to the design of low complexity scheme for object identification using Wireless Multimedia Sensor Networks. The main idea behind the design of this scheme is to avoid useless multimedia data streaming on the network. In depth, it ensures the detection of the specific event (target) before sending image to notify the end user. The chapter discusses the capabilities of the proposed scheme to identify a target and to achieve low-power processing at the source mote while unloading the network. The power consumption and the time processing of this scheme were estimated for MICA2 and MICAZ motes and showed that it outperforms other methods for communication in WMSN such as the methods based on image compression.

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Hardware compression scheme based on low complexity arithmetic encoding for low power image transmission over WSNs

Cited by 21 publications

References 15 publications

SPIHT-based image compression scheme for energy conservation over wireless vision sensor networks

SPIHT-based image compression scheme for energy conservation over wireless vision sensor networks

A novel joint logging and migrating traceback scheme for achieving low storage requirement and long lifetime in WSNs

A Shape-Based Object Identification Scheme in Wireless Multimedia Sensor Networks

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