异构物联网中基于粒子群算法的频谱分配方法
Spectrum Allocation Method Based on Particle Swarm Optimization in Heterogeneous Internet of Things

DOI: 10.12677/CSA.2021.118222, PP. 2167-2178

Keywords: 认知无线电，物联网，异构网络，频谱分配，粒子群算法
Cognitive Radio, Internet of Things, Heterogeneous Network, Spectrum Allocation, Particle Swarm Optimization

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Abstract:

针对异构物联网中不同网络相互重叠、相互干扰和信道重叠等情况下的复杂频谱分配问题，提出了异构物联网中基于粒子群算法的频谱分配方法。考虑信道空闲状态、网络干扰状态和信道重叠状态，将总网络效益的最大化的频谱分配问题建模为非线性约束0-1整数规划问题，使用粒子群算法求解该问题。仿真结果显示，本文方法能够获得最优的频谱分配策略，相比随机的频谱分配方法，能够有效提高系统的总网络效益及平均频谱需求满足率。
Aiming at the complex spectrum allocation problem when different networks overlap, interfere with each other and channel overlap in heterogeneous Internet of things, a spectrum allocation method based on particle swarm optimization algorithm in heterogeneous Internet of things is proposed. Considering the channel idle state, network interference state and channel overlap state, the spectrum allocation problem to maximize the total network utilities is modeled as a nonlinear constrained 0-1 integer programming problem, which is solved by particle swarm optimization algorithm. Simulation results show that the proposed method can obtain the optimal spectrum allocation strategy. Compared with the random spectrum allocation method, it can effectively improve the total network efficiency and average spectrum demand satisfaction rate of the system.

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