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Sensors 2018, 18(6), 1824; https://doi.org/10.3390/s18061824

Distributed Systematic Network Coding for Reliable Content Uploading in Wireless Multimedia Sensor Networks

1
School of Electronic and Electrical Engineering, Sungkyunkwan University, Suwon 16419, Korea
2
Department of Interaction Science, Sungkyunkwan University, Suwon 16419, Korea
*
Author to whom correspondence should be addressed.
Received: 7 May 2018 / Revised: 1 June 2018 / Accepted: 3 June 2018 / Published: 5 June 2018
(This article belongs to the Section Sensor Networks)
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Abstract

Recently, the wireless sensor network paradigm is shifting toward research aimed at enabling the robust delivery of multimedia content. A challenge is to deliver multimedia content with predefined levels of Quality of Service (QoS) under resource constraints such as bandwidth, energy, and delay. In this paper, we propose a distributed systematic network coding (DSNC) scheme for reliable multimedia content uploading over wireless multimedia sensor networks, in which a large number of multimedia sensor nodes upload their own content to a sink through a cluster head node. The design objective is to increase the reliability and bandwidth-efficient utilization in uploading with low decoding complexity. The proposed scheme consists of two phases: in the first phase, each sensor node distributedly encodes the content into systematic network coding packets and transmits them to the cluster head; then in the second phase, the cluster head encodes all successfully decoded incoming packets from multiple sensor nodes into innovative systematic network coding packets and transmits them to the sink. A bandwidth-efficient and channel-aware error control algorithm is proposed to enhance the bandwidth-efficient utilization by dynamically determining the optimal number of innovative coded packets. For performance analysis and evaluation, we firstly derive the closed-form equations of decoding probability to validate the effectiveness of the proposed uploading scheme. Furthermore, we perform various simulations along with a discussion in terms of three performance metrics: decoding probability, redundancy, and image quality measurement. The analytical and experimental results demonstrate that the performance of our proposed DSNC outperforms the existing uploading schemes. View Full-Text
Keywords: wireless multimedia sensor networks; network coding; multimedia uploading; low-latency communication; Internet of Things wireless multimedia sensor networks; network coding; multimedia uploading; low-latency communication; Internet of Things
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Chau, P.; Shin, J.; Jeong, J.P. Distributed Systematic Network Coding for Reliable Content Uploading in Wireless Multimedia Sensor Networks. Sensors 2018, 18, 1824.

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