基于应急融合网络应用的多路径Bandit优化算法

摘要

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.%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%.