摘要
针对智慧城市中长距离广域网(Long Range Wide Area Network,LoRaWAN)存在的频谱资源稀缺和动态干扰频繁问题,首先基于博弈论利用节点间的策略博弈过程近似求解纳什均衡,其次基于传统最优响应动态算法,引入步长调整机制以提升算法在非对称信道环境中的收敛速度与稳定性,最后基于NS-3仿真平台构建LoRaWAN物联网网络场景对比本文所提方法与传统动态分配算法。结果表明,步长加权最优响应动态(Step-size Weighted Best Response Dynamics,SW-BRD)算法在600 s的仿真周期内始终保持拥有更高的频谱利用率。
To address the issues of scarce spectrum resources and frequent dynamic interference in Long Range Wide Area Networks(LoRaWAN)in smart cities,we first use game theory to approximate the Nash equilibrium through the strategy game process between nodes.Secondly,based on traditional optimal response dynamic algorithms,we introduce a step size adjustment mechanism to improve the convergence speed and stability of the algorithm in asymmetric channel environments.Finally,we construct a LoRaWAN Internet of Things network scenario using the NS-3 simulation platform to compare our proposed method with traditional dynamic allocation algorithms.The results indicate that the Step-size Weighted Best Response Dynamics(SW-BRD)algorithm consistently maintains higher spectrum utilization during the 600 s simulation period.
作者
冯亚萍
FENG Yaping(Luoyang Railway Information Engineering School,Luoyang,Henan 471000,China)
出处
《智能物联技术》
2025年第5期91-95,共5页
Technology of Io T& AI
关键词
动态频谱分配
智慧城市
物联网
dynamic spectrum allocation
smart city
Internet of Things
