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

分布式的系统的网络为在无线多媒体传感器网络的可靠满意的上载编码

作     者:Phuc Chau Shin, Jitae Jeong, Jaehoon (Paul) 

作者机构:Sungkyunkwan Univ Sch Elect & Elect Engn Suwon 16419 South Korea Sungkyunkwan Univ Dept Interact Sci Suwon 16419 South Korea 

出 版 物:《SENSORS》 (Sensors)

年 卷 期:2018年第18卷第6期

页      面:1824-1824页

核心收录:

学科分类:0710[理学-生物学] 071010[理学-生物化学与分子生物学] 0808[工学-电气工程] 07[理学] 0804[工学-仪器科学与技术] 0703[理学-化学] 

基  金:Institute for Information & Communications Technology Promotion (IITP) - Korea government (MSIT), Research and Development of 5G Mobile Communications Technologies using CCN based Multi-dimensional Scalability [2013-0-00409] National Research Foundation of Korea (NRF) - MSIT, Global Research Laboratory Program [2013K1A1A2A02078326] 

主  题:wireless multimedia sensor networks network coding multimedia uploading low-latency communication Internet of Things 

摘      要: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.

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