Modeling and Parameter Optimization of Statistical Priority-Based Multiple Access Protocol

Modeling and Parameter Optimization of Statistical Priority-Based Multiple Access Protocol

论文摘要

The Statistical Priority-based Multiple Access Protocol(SPMA) is the de facto standard for Tactical Target Network Technology(TTNT) and has also been implemented in ad hoc networks. In this paper, we present a non-preemptive M/M/1/K queuing model to analyze the performance of different priorities in SPMA in terms of average packet loss rate and delay. And based on this queuing model,we designed a percentile scoring system combined with Q-learning algorithm to optimize the protocol parameters. The simulation results show that our theoretical model is closely matched with the reality, and the proposed algorithm improves the efficiency and accuracy in finding the optimal parameter set of SPMA protocol.

论文目录

文章来源

类型: 期刊论文

作者: Siying Gao,Ming Yang,Hui Yu

来源: 中国通信 2019年09期

年度: 2019

分类: 信息科技,经济与管理科学,基础科学,工程科技Ⅱ辑

专业: 数学,武器工业与军事技术

单位: Dept. of Electronic Engineering,Shanghai Jiao Tong University

基金: supported by national fundamental research key project (No. JCKY2017203B082)

分类号: E91;O226

页码: 45-61

总页数: 17

文件大小: 758K

下载量: 33

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Modeling and Parameter Optimization of Statistical Priority-Based Multiple Access Protocol
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