由于连接增加,小世界现象在基于树的无线传感器网络存在。基于树的网络的小世界上的流行病被学习,并且流行病的爆发在发生的流行阀值是计算的。当感染概率比过滤阀值大时,流行病学的过程被分析。尽管不同流行病学的过程发生在内在的树拓扑学上,当感染传播,感染的节点的数字指数地增加。一致免疫过程在同类的小世界的网络被进行。尽管免疫有效地减少流行速度,感染仍然指数地延长。
Due to link additions, small world phenomena exist in tree-based wireless sensor networks. Epidemics on small worlds of tree-based networks are studied, and the epidemic threshold at which the outbreak of the epideIrlic occurs is calculated. Epidemiological processes are analyzed when the infection probability is larger than the percolation threshold. Although different epidemiological processes occur on the underlying tree topology, the number of infected nodes increases exponentially as the infection spreads. The uniform immunization procedure is conducted in the homogeneous small-world network. The infection still extends exponentially Mthough the immunization effectively reduces the prevalence speed.