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针对现有波分复用多协议标签交换光互联网络覆盖方法,收敛性差、易早熟、网络覆盖率低的不足,提出一种基于改进粒子群的互联网络覆盖优化方法研究。首先构建光互联网络节点分布数学模型,在感知区域内均匀地部署光互联网络节点,并对节点数量进行优化;基于改进粒子群方法进行全局寻优,实现最佳的节点分布和区域网络覆盖。实验证明提出的方法能够有效提升网络的连通性、收敛性好、具有较高的网络覆盖率。
In order to overcome the shortcomings of current WDM multi-protocol label switching optical Internet coverage methods, such as poor convergence, precociousness and low network coverage, a new coverage optimization method based on improved particle swarm optimization is proposed. Firstly, the mathematic model of the distribution of optical Internet nodes is established, and the optical Internet nodes are deployed evenly in the sensing area, and the number of nodes is optimized. Based on the improved particle swarm optimization, the optimal distribution of nodes and the coverage of regional networks are achieved. Experimental results show that the proposed method can effectively improve the connectivity of the network with good convergence and high network coverage.