期刊文献+

应急救援场景下自组网非对称多信道选择算法

Asymmetric multi-channel selection algorithm for Ad hoc networks in emergency rescue scenarios
下载PDF
导出
摘要 在复杂多变的应急救援应用场景下,研究如何提升网络性能非常有价值。当前在许多网络中对多信道分配问题进行了研究,并提出了很多信道分配理论,有关非对称信道的特征及分配的研究却很少。针对无线自组织网的信道选择问题,提出了一种非对称信道选择算法。在假设各个候选信道之间的信道质量不一致的前提下,先建立了一个饱和吞吐量模型来定量分析每个博弈者的利用率,采用混合纳什均衡模型分析信道选择策略,并通过最大化吞吐量来改善选择的公平性。通过两博弈者和N博弈者的仿真验证,说明混合策略信道选择算法能显著改善网络的吞吐量性能,同时在博弈者数量不断增加的情况下依然可以保持较好的稳定性。 It is very valuable to study how to improve the network performance in the complex and changeable emergency rescue application scenarios.At present,the problem of multi-channel assignment has been studied in many networks,and a lot of channel allocation theories have been proposed.However,little research has been done on the characteristics and allocations of asymmetric channel.An asymmetric selection algorithm is proposed for the channel selection problem in wireless Ad hoc networks.Under the assumption of the quality discrepancy between candidate channels,the algorithm firstly establish a saturation model to quantify the utility of each player,and then the channel selection strategy is analyzed using the mixed Nash equilibrium model.Finally,a mixed strategy is used to maximize the throughput and improve the fairness of channel selection.Through the simulation of two game players and N game players,it is proved that the hybrid strategy channel selection algorithm can significantly improve the throughput performance of the network.At the same time,it can still maintain good stability under the condition of increasing number of players.
作者 涂嘉庆 钱云楼 周菲 Tu Jiaqing;Qian Yunlou;Zhou Fei(Zhejiang College of Security Technology,Wenzhou 325016,China)
出处 《国外电子测量技术》 北大核心 2023年第6期57-62,共6页 Foreign Electronic Measurement Technology
关键词 自组网 信道选择 应急救援 纳什均衡 Ad hoc networks channel selection emergency rescue Nash equilibrium
  • 相关文献

参考文献10

二级参考文献71

  • 1徐浪,陈小莉,田茂,谢桂辉.基于Turbo码和ODPD判决法的LoRa改进方法[J].电子测量技术,2020,43(7):142-147. 被引量:8
  • 2余谦,王先甲.基于粒子群优化求解纳什均衡的演化算法[J].武汉大学学报(理学版),2006,52(1):25-29. 被引量:37
  • 3李生虎,丁明.电力市场中基于电价弹性的电力系统运行可靠性的协调控制[J].中国电机工程学报,2005,25(24):34-40. 被引量:30
  • 4Pavlidis N G,Parsopoulos K E,Vrahatis M N.Computing Nash Equilibria Through Computational Intelligence Methods[J].Journal of Computational andApplied Mathematics,2005,175(1):113-136.
  • 5Parsopouios K E,Vrahatis M N.On the Computation of All Global Minimizers Through Particle Swarm Optimization[J].IEEE Transactions On Evolutionary Computation,2004,8(3):211-224.
  • 6Dofigo M,Gambardella L M.Ant Colony System:A Cooperative Learning Approach to the Traveling Salesman Problem[J].IEEE Transactions on Evolutionary Computation,1997,1(1):53-66.
  • 7Dreo J,Siarry P.An Ant Colony Algorithm Aimed at Dynamic Continuous Optimization[J].Applied Mathematics and Computation,2006,181(1):457-467.
  • 8Krzysztof S,Dongo M.Ant Colony Optimization for Continuous Domains[J].European Journal of Operational Research,2006,185(3):1155-1173.
  • 9Baskan O,Haldenbilen S,Ceylan H.A New Solution Algorithm for Improving Performance of Ant Colony Optimization[J].Applied Mathematics and Computation,2009,211(1):75-84.
  • 10Hamzacebi C.Improving Genetic Algorithms'Performance by Local Search for Continuous Function Optimization[J].Applied MathematiCS and Computation,2008,196(1):309-317.

共引文献35

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部