用于无人机网络边缘辅助计算的具有组合特性和之字形解码的低开销矢量编码

IF 1.8 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Mingjun Dai, Ronghao Huang, Jinjin Wang, Bingchun Li
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引用次数: 0

摘要

同时具有组合特性(CP)和之字形解码(ZD)的编码(CP-ZD)在边缘辅助分布式系统中有着广泛的应用,包括分布式存储、编码分布式计算(CDC)和 CDC 结构分布式训练。现有的 CP-ZD 代码设计基于标量代码,即一个节点存储一个编码数据包。其缺点是引起的开销很大。为了大幅降低开销,我们设计了矢量 CP-ZD 代码,其中矢量表示一个节点存储的编码数据包数量从一个扩展到多个。更具体地说,在详细的编码构造中,提出了循环移位,并针对每个节点分别存储两个、三个和四个数据包的情况精心设计了移位。比较显示,开销显著减少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Low overhead vector codes with combination property and zigzag decoding for edge-aided computing in UAV network

Codes that possess combination property (CP) and zigzag decoding (ZD) simultaneously (CP-ZD) has broad application into edge aided distributed systems, including distributed storage, coded distributed computing (CDC), and CDC-structured distributed training. Existing CP-ZD code designs are based on scalar code, where one node stores exactly one encoded packet. The drawback is that the induced overhead is high. In order to significantly reduce the overhead, vector CP-ZD codes are designed, where vector means the number of stored encoded packets in one node is extended from one to multiple. More specifically, in detailed code construction, cyclic shift is proposed, and the shifts are carefully designed for cases that each node stores two, three, and four packets, respectively. Comparisons show that the overhead is reduced significantly.

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来源期刊
Computational Intelligence
Computational Intelligence 工程技术-计算机:人工智能
CiteScore
6.90
自引率
3.60%
发文量
65
审稿时长
>12 weeks
期刊介绍: This leading international journal promotes and stimulates research in the field of artificial intelligence (AI). Covering a wide range of issues - from the tools and languages of AI to its philosophical implications - Computational Intelligence provides a vigorous forum for the publication of both experimental and theoretical research, as well as surveys and impact studies. The journal is designed to meet the needs of a wide range of AI workers in academic and industrial research.
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