A-LNT: A Wireless Sensor Network Platform for Low-Power Real-Time Voice Communications

Fu, Yong; Guo, Qiang; Chen, Changying

doi:10.1155/2014/394376

Cited by 7 publications

(4 citation statements)

References 17 publications

(36 reference statements)

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“…The time overhead is considerable for WSNs, especially for WMSNs. For example, three anchor node localization algorithm for A-LNT, 41 the system parameters are as follows: wireless chip is CC2500, packet length is 8 bytes, t sync = 720 μ s , t n = 250 μ s , t rev = 45 μ s , and t gap = 32 μ s . T m is 2094 µs, which takes 87% of audio time slots or 34.4% of data time slot, and the positioning time increases with the scale of the system and the number of anchor nodes increase, which would cause bandwidth pressure and network management difficulties.…”

Section: Discussionmentioning

confidence: 99%

Single anchor node real-time positioning algorithm based on the antenna array

2017

International Journal of Distributed Sensor Networks

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This article presents an anchor node based on directional antenna array and reports the design of an automatic test system. The antenna radiation characteristics and the wireless channel model are studied first, followed by the evaluation of a single anchor node localization algorithm for wireless sensor network real-time positioning on the base of antenna radiation modeling and radio channel propagation model research then. Finally, the algorithm is evaluated by experiments in real environments. Experimental results show that the algorithm positioning accuracy could reach 1 m, and angular positioning accuracy error is less than 20°with no data exchange required during the positioning process. Hence, the wireless data transmission protocol complexity is reduced with improved real-time performance. This study is expected to provide technical references for the method research of wireless sensor network real-time positioning and new positioning system in practical applications.

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Section: Discussionmentioning

confidence: 99%

Single anchor node real-time positioning algorithm based on the antenna array

2017

International Journal of Distributed Sensor Networks

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“…e results, stressing the voice quality in mesh Zigbee with multiple hops (for mine monitoring), show that the proposed system ensures voice quality in complex Zigbee network with higher integration and lower power consumption. Fu et al [17] present the detailed development of a proprietary low-power WSN platform with star topology and 3 voice communication modes: P2P, Peer-Central-Peer, and voice conference, using the CVSD 15.625 Kbps voice codec. Zigbee communications are based on the 8-bit RF SOC CC2430/CC2530.…”

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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“…The experimental results show that PAVENET OS achieves 0.01% jitter while performing wireless communication tasks with low overhead in the aspects of size of RAM and ROM and minimum task switching time. [25] is a lightweight low-speed and lowpower WSN platform for voice communications. In order to meet requirement of voice communications and sensing data transmission, clock synchronous MAC protocol and data noninterference mechanisms are employed under star network topology.…”

Section: Platform For Real-time Communicationsmentioning

confidence: 99%

A Survey on Real-Time Communications in Wireless Sensor Networks

Kim

Park

Kim

et al. 2017

Wireless Communications and Mobile Computing

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Generally, various traffic requirements in wireless sensor network are mostly dependent on specific application types, that is, eventdriven, continuous, and query-driven types. In these applications, real-time delivery is one of the important research challenges. However, due to harsh networking environment around a node, many researchers usually take different approach from conventional networks. In order to discuss and analyze the advantage or disadvantage of these approaches, some comprehensive survey literatures were published; however they are either out of date or compiled for communication protocols on single layer. Based on this deficiency, in this paper, we present the up-to-date research approaches and discuss the important features related to real-time communications in wireless sensor networks. As for grouping, we categorize the approaches into hard, soft, and firm real-time model. Furthermore, in all these categories, research has been focused on MAC and scheduling and routing according to research area or objective in second level. Finally, the article also suggests potential directions for future research in the field.

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A-LNT: A Wireless Sensor Network Platform for Low-Power Real-Time Voice Communications

Cited by 7 publications

References 17 publications

Single anchor node real-time positioning algorithm based on the antenna array

Single anchor node real-time positioning algorithm based on the antenna array

Embedded Parallelism Enabling Ultralow-Power Zigbee Voice Communications

A Survey on Real-Time Communications in Wireless Sensor Networks

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