Robust JPEG2000 Image Transmission over IEEE 802.15.4

Wang, Kyu-Yeul; Lee, Seung-Yerl; Kim, Byung Soo; Lee, Sang-Seol; Song, Jaeyeon; Kim, Dong–Sun; Chung, Dae-Won

doi:10.1109/delta.2008.67

Cited by 4 publications

(7 citation statements)

References 4 publications

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“…Authors of Ref. [12] proposed adaptive unequal error protection scheme for JPEG2000 image transmission through the IEEE 802.15.4. This method assign adaptive code rate resulting from packet error rate.…”

Section: Related Workmentioning

confidence: 99%

Efficient Image Transmission Schemes over Zigbee‐Based Image Sensor Networks

et al. 2016

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Section: Related Workmentioning

confidence: 99%

Efficient Image Transmission Schemes over Zigbee‐Based Image Sensor Networks

et al. 2016

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“…Linux OS uses the tosmac structure data packet [1], with the payload of each packet being 28 bytes. From this model and substituting (11) and (12) into (1), the energy consumption for transmitting a JPEG 2000 compressed image becomes:…”

Section: Communication System On Embeddedmentioning

confidence: 99%

“…Investigations of JPEG 2000 image compression, focusing on energy consumption, memory utilization, and computational complexity, have been reported in [9][10][11]. In [9], the research focuses on the effect of energy consumption and PSNR when both wavelet subband parameters are altered in resolution scale and wavelets coefficients level.…”

Section: Introductionmentioning

confidence: 99%

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Energy Efficiency of Image Transmission in Embedded Linux based Wireless Visual Sensor Network

Sastra

Wirawan

Hendrantoro

2015

JCOMSS

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Wireless Visual Sensor Network (WVSN) is a system that consists of visual sensor nodes with an embedded processor. WVSN devices have limited resources of energy, computation capability, memory, and bandwidth. Due to these limitations the implementation of WVSN for large multimedia data, such as images, become a challenging task. Therefore, it is required compressed images prior to transmission. In addition to the limited resources, the system implementation strongly affects the efficiency of the working system.The main contribution of this research is to offer a technical solution of simpler image compression on the WVSN platform. JPEG 2000 is investigated as an alternative compression method to reduce the size of data transfer on WVSN using Embedded Linux as its operating system. Compressed images are transferred to a receiver on communication of IEEE 802.15.4.. This paper shows that the energy consumption for compression and transmission will reduce to only 10.48%, 13.60%, and 17.11% compared to raw image. BER will significantly reduce by implementing image compression. Therefore, it is demonstrated that this model significantly increases energy efficiency, memory utilization efficiency, and data transfer time with acceptable PSNR, compared to uncompressed images.

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“…Little researches study transmission image or video over IEEE 802.15.4 networks [2][3][4][5][6]. The CMUcam project provides simple vision capabilities to small embedded systems in the form of an intelligent sensor.…”

Section: Introductionmentioning

confidence: 99%

BOB-RED queue management for IEEE 802.15.4 wireless sensor networks

Lin

Leu

et al. 2011

J Wireless Com Network

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Multimedia services over resource constrained wireless sensor networks (WSNs) face a performance bottleneck issue from the gateway node to the sink node. Therefore, the queue management at the gateway node is crucial for diversified messages conveyed from the front nodes to the sink node. In this article, beacon order-based random early detection (BOB-RED) queue management is proposed. BOB-RED is a dynamic adaptation scheme based on adjusting beacon interval and superframe duration in the IEEE 802.15.4 MAC superframe accompanied with RED queue management scheme to increase the transmission efficiency of multimedia over WSNs. We focus on the performance improvement upon different traffic loads over WSNs. Evaluation metrics include end-to-end delay, packet delivery ratio, and energy consumption in IEEE 802.15.4 beacon enabled mode. Simulation results show that BOB-RED can effectively decrease end-to-end delay and energy consumption compared to the DropTail scheme.

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Robust JPEG2000 Image Transmission over IEEE 802.15.4

Cited by 4 publications

References 4 publications

Efficient Image Transmission Schemes over Zigbee‐Based Image Sensor Networks

Efficient Image Transmission Schemes over Zigbee‐Based Image Sensor Networks

Energy Efficiency of Image Transmission in Embedded Linux based Wireless Visual Sensor Network

BOB-RED queue management for IEEE 802.15.4 wireless sensor networks

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