An Energy-Efficient and High-Quality MAC Protocol for Image Transmission in Wireless Sensor Networks

Aghdasi, Hadi S.; Abbaspour, Maghsoud; Moghadam, Mohsen Ebrahimi

doi:10.1109/iccsc.2008.183

Cited by 8 publications

(3 citation statements)

References 12 publications

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“…Mukhopadhyay et al, 15 Laneman et al, 16 Goyal, 17 and Chan et al 18 discussed the different approaches for data reliability, transmission, and compression for communication in WSNs. In Boluk et al, 19 Yang, 20 and Aghdasi et al, 21 there are some more previous works over the image and data transmission methods for WSNs. The methods discussed in this section show their effectiveness in different ways; however, there are still few pitfalls which need to be addressed while dealing high-quality image transmission cooperatively in WSNs such as excessive energy consumption while processing continues image transmissions, to achieve the tradeoff between image quality and robustness of image transmission.…”

Section: Related Workmentioning

confidence: 99%

Efficient cooperative image transmission in one-way multi-hop sensor network

Alhayani

İlhan

2018

International Journal of Electrical Engineering & Education

220

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The challenging task while transmitting the high-quality images over the wireless sensor networks is to achieve the higher throughput, minimum bit error rate without compromising the image quality. As the sensor nodes have the limited processing power, designing energy efficient image transmission is another challenge in this research. This paper proposed a novel method of cooperative image transformation from the transmitter to the receiver for wireless sensor networks. We designed the methods for multi-hop one-way relayed cooperative communication model for wireless sensor networks. We believe that the cooperative communication helps to improve the efficiency of image transmission. The proposed approach focused on efficient relayed image transmission through wireless channels with optimum image quality and bit error rate performances. First, lightweight image quality improvement method was proposed at both transmitter and receiver end as images captured under various illumination conditions. Second, the proposed compressive sensing was performed using the approximation coefficient of 2D discrete wavelet transform. We utilized the wavelet denoising advantage by presenting the hybrid thresholding function. And third, use of decode–forward method at relay nodes to perform the task of decode and forward received image data block. The compressed approximation component of 2D discrete wavelet Transform is further used to apply inverse fast Fourier transform and then in modulation using quadrature phase shift keying to transmit over additive white Gaussian noise channel to relay nodes as per the standard orthogonal frequency-division multiplexing model. The simulation results claim the performance efficiency against the state-of-art methods based on mean square error, peak signal-to-noise ratio, and bit error rate.

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Section: Related Workmentioning

confidence: 99%

Efficient cooperative image transmission in one-way multi-hop sensor network

Alhayani

İlhan

2018

International Journal of Electrical Engineering & Education

220

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“…al. [11] proposed a DCT block based image compression using adaptive priority to categorize network packets. To increase the transmission rate and decrease the energy consumed in retransmission tries, the UDP protocol was used in sending image data packets.…”

Section: Related Workmentioning

confidence: 99%

Efficient Image Transmission Schemes over Zigbee‐Based Image Sensor Networks

et al. 2016

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“…Some other approaches are more concerned with energy efficiency in addition to reliability. In [16], the authors proposed the energy-efficient and high-quality MAC protocol (EQ-MAC) in which a sender and a receiver can optimize idly listening times by using multiple sub-RTSs and sub-CTSs instead of a long preamble used in B-MAC [17]. Note that a node can know the intended destination only at the end of a long preamble.…”

Section: Introductionmentioning

confidence: 99%

A Pipelined Cooperative Transmission Protocol for Fast and Reliable Image Delivery in Wireless Sensor Networks

2020

IEEE Access

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Multimedia applications using wireless sensor networks often require bounds for end-to-end delay and packet loss rate in addition to energy efficiency in delivering a series of packets sliced from an image. This paper proposes a pipelined cooperative transmission (PCT) protocol for fast and reliable image delivery based on a tree topology originating from a sink, and allocation of a distinct time slot to each tree level. In this approach, if a sink needs an image from a specific multimedia node, it establishes a cooperative path such that a path node, a node on the tree path from the multimedia node to the sink, selects a cooperating node from its neighboring nodes at the same tree level. Then, the cooperating node assists its counterpart using the information obtained by means of overhearing message or data in order to forward a packet reliably to the nodes one level lower. This transmission mechanism improves the reliability of hopby-hop transmission greatly without relying on retransmissions while making the packet move fast. Packets are transmitted in a pipelined manner using two channels such that different nodes at every other level send packets simultaneously. The proposed protocol is verified by analysis, simulation, and experiment, showing that it far outperforms the recent best approach in terms of end-to-end delay and energy consumption while achieving a high packet delivery rate.

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An Energy-Efficient and High-Quality MAC Protocol for Image Transmission in Wireless Sensor Networks

Cited by 8 publications

References 12 publications

Efficient cooperative image transmission in one-way multi-hop sensor network

Efficient cooperative image transmission in one-way multi-hop sensor network

Efficient Image Transmission Schemes over Zigbee‐Based Image Sensor Networks

A Pipelined Cooperative Transmission Protocol for Fast and Reliable Image Delivery in Wireless Sensor Networks

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