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将小世界图的思想应用于无线多跳网络。通过选择一小部分节点并放大它们之间的通信距离来建立一个网络模型。理论计算和仿真实验证明,这种模型可以表现出小世界模型的平均路径长度和聚类系数这二大特性。基于这个模型,提出了一个非均匀概率的洪泛算法。仿真结果表明,在网络覆盖和跳数这二个方面,小世界无线多跳网络大大优于一般的无线多跳网络模式。
The idea of a small world map is applied to a wireless multi-hop network. Create a network model by selecting a small number of nodes and amplifying the communication distance between them. Theoretical calculations and simulation experiments show that this model can show the small-world model of the average path length and clustering coefficients of these two characteristics. Based on this model, a non-uniform probability flooding algorithm is proposed. The simulation results show that in the two aspects of network coverage and number of hops, small-world wireless multi-hop network greatly outperforms the general wireless multi-hop network model.