Author Login Editor-in-Chief Peer Review Editor Work Office Work

Computer Engineering

Previous Articles     Next Articles

Multi-path Bandit Optimization Algorithm Based on Application of Emergency Convergence Network

WU Fu1,ZHENG Lin1,2,LI Xiaoji1   

  1. (1.School of Information and Communication,Guilin University of Electronic Technology,Guilin,Guangxi 541004,China;2.State Key Laboratory of Communication Network Information Transmission and Distribution Technology, Shijiazhuang 050081,China)
  • Received:2016-01-19 Online:2017-03-15 Published:2017-03-15

基于应急融合网络应用的多路径Bandit优化算法

伍富1,郑霖1,2,李晓记1   

  1. (1.桂林电子科技大学 信息与通信学院,广西 桂林 541004;2.通信网信息传输与分发技术国家重点实验室,石家庄 050081)
  • 作者简介:伍富(1989—),男,硕士研究生,主研方向为异构网络融合技术;郑霖,教授;李晓记,副教授。
  • 基金资助:
    国家自然科学基金(61362006);广西自然科学基金(2014GXNSFBA118288);广西无线宽带通信和信号处理重点实验室主任基金(GXKL061501);通信网信息传输与分发技术国家重点实验室开放课题(ITD-U14008/KX142600015)。

Abstract: The traditional wireless communication networks with limited performance caused by its single structure cannot satisfy the quality requirement of emergency communication.To solve this problem,a muti-path Bandit algorithm based on the converged network,which consists of cognitive self-organization network and mobile cellular network,is proposed.The routing process in communication is divided into multi-slot path selecting stages.The trade-off between delay and energy efficiency for multi-path selecting is made to reasonably distribute energy consumption.Simulation results show that compared with the non-emergency business application and greedy algorithm,the network lifetime of muti-path Bandit algorithm are improved by 3%~20% under the converged network emergency business application.

Key words: convergence network, emergency communication, Bandit theory, finite state Markov chain, muti-path, multi-gateway

摘要: 传统的无线通信网络由于结构单一,性能上诸多受限,难以保障应急通信的质量。为此,在认知无线自组织网络与移动蜂窝网络相融合的新背景下,提出一种多路径Bandit算法。将通信中的选路过程分为多时隙路径选择子阶段,通过对权衡网络时延和能效目标函数的计算进行路径优选,从而合理地分布网络中各节点的能耗。仿真结果表明,对比非应急业务应用和贪婪算法,在融合网络应急业务应用下,多路径Bandit算法的网络生存期提高了3%~20%。

关键词: 融合网络, 应急通信, Bandit理论, 有限状态马尔科夫链, 多路径, 多网关

CLC Number: