Performance Analysis of Video Transmission Over Wireless Multimedia Sensor Networks

Chang, Lin-Huang; Lin, Tzu‐Chieh; Lee, Tsung-Han

doi:10.1007/978-981-10-5281-1_69

Cited by 2 publications

(3 citation statements)

References 9 publications

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“…Chang et al [18] develop an end-to-end rescue communication voice gateway to provide a stable voice transmission over Bluetooth and Zigbee networks for mountain climbers. To implement the device, it adopts Speex with submode 4 and 11 kbps data rate to provide the best tradeo between speech quality and computational complexity, based on our work.…”

Section: Voz Technologymentioning

confidence: 99%

Embedded Parallelism Enabling Ultralow-Power Zigbee Voice Communications

Μηλιώνης

Touloupis

Perelló

2019

Journal of Computer Networks and Communications

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Short-range wireless technologies are known to transmit voice, audio, image, and video messages in real time. Energy consumption and transmission reach are critical in such networks, especially for portable and power autonomous devices. The purpose of the Voice over Zigbee technology is to provide a competitive offering that excels in these performance aspects. Due to the CSMA-CA mechanism implemented in the 802.15.4 layer, a well-designed strategy must be considered in Zigbee to create a robust, reliable, and full-duplex conversation. In past efforts, we proved that the radio channel of Zigbee has enough bandwidth to support a full-duplex conversation with narrow-band voice codecs. Our embedded implementation of the Speex voice codec targeted the development of a low-cost, ultralow-power, long-range wireless headset using Zigbee technology to transmit voice in full-duplex mode for use with leading PC VoIP programs. Furthermore, we presented the real environment performance evaluation and power consumption tests involving the developed headset prototype. Talk time is comparable to Bluetooth including at the power budget, the codec processing, and analogue audio interface, but its deep-sleep lifetime more than doubles the Bluetooth performance. This was one of the very few successful efforts to port a voice codec on an ultralow-power DSP for use with power sensitive Zigbee applications, which is highly cited in the literature, proving additionally that using an open-source codec can deliver similar voice quality, reducing the total system cost. The current paper elaborates on the embedded parallelism of the Speex implementation and the exploitation of the DSP architectural parallelism which critically enabled the Voice over Zigbee application on the ultralow-power DSP platform. Another significant contribution of this work is towards understanding and resolving the challenges faced when trying to achieve good quality transmission of media over constrained devices and networks. The way to new ultralow-power voice-related Zigbee and constrained network applications is open.

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Section: Voz Technologymentioning

confidence: 99%

Embedded Parallelism Enabling Ultralow-Power Zigbee Voice Communications

Μηλιώνης

Touloupis

Perelló

2019

Journal of Computer Networks and Communications

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“…The human physiological signals are transmitted to examine the healthcare of elderly patients by developing an energy optimization model [12] [13], [14]. In [15], packet transmission strategies are proposed for energy and battery life management for healthcare applications, but QoS optimization is not highlighted.…”

Section: Introductionmentioning

confidence: 99%

“…Nevertheless, QoS optimization has not been the main focus during medical media transmission. Only [6] and [9] investigated energy optimization techniques by adopting real-time video datasets [14]. Moreover, energy (i.e., encoding and transmission) drain and network performance analysis, impact of client buffer size, PMR, and high peak rates during video transmission in WMMD are not addressed.…”

Section: Introductionmentioning

confidence: 99%

Toward Convergence of AI and IoT for Energy-Efficient Communication in Smart Homes

Sodhro

Gurtov

Zahid

et al. 2021

IEEE Internet Things J.

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The convergence of Artificial Intelligence (AI) and Internet of Things (IoT) promotes the energy efficient communication in smart homes. Quality of Service (QoS) optimization during video streaming through wireless micro medical devices (WMMD) in smart healthcare homes is the main purpose of this research. This paper contributes in four distinct ways. First,to propose a novel Lazy Video Transmission Algorithm (LVTA). Second, a novel Video Transmission Rate Control Algorithm (VTRCA) is proposed. Third, a novel cloud-based video transmission framework is developed. Fourth, the relationship between buffer size and performance indicators i.e., peak-to-mean ratio (PMR), energy (i.e., encoding and transmission) and standard deviation is investigated while comparing the LVTA, VTRCA, and Baseline approaches. Experimental results demonstrate that the reduction in encoding (32%, 35.4%) and transmission (37%, 39%) energy drains, PMR (5, 4), and standard deviation (3dB, 4dB) for VTRCA and LVTA, respectively, is greater than that obtained by Baseline during video streaming through WMMD.

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Performance Analysis of Video Transmission Over Wireless Multimedia Sensor Networks

Cited by 2 publications

References 9 publications

Embedded Parallelism Enabling Ultralow-Power Zigbee Voice Communications

Embedded Parallelism Enabling Ultralow-Power Zigbee Voice Communications

Toward Convergence of AI and IoT for Energy-Efficient Communication in Smart Homes

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