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基于复杂网络理论,研究由于节点失效所导致的无线传感器网络性能下降的问题,提出一种新的簇间拓扑演化模型,在此基础上讨论病毒的免疫策略,并给出一种新的免疫机理.理论分析表明,该模型演化生成的网络不仅具有较强的容错性,而且还可以有效避免节点因能量很快耗尽而过早死亡.研究还发现,对于网络全局信息未知的情况,与随机免疫和熟人免疫策略相比,本文所提免疫策略能够获得较好的免疫效果.通过数值仿真对理论分析进行验证.
Based on the complex network theory, this paper studies the problem of the performance degradation of wireless sensor networks due to node failure, and proposes a new model of topological evolution among the clusters. On the basis of this, we discuss the immunization strategy and provide a new immune mechanism The theoretical analysis shows that the network evolved by this model not only has strong fault tolerance, but also can effectively prevent the node from premature death due to the exhaustion of energy quickly.The research also finds that for the network whose global information is unknown, Compared with the immune strategy of the acquaintance, the immunization strategy proposed in this paper can get a better immune effect.The theoretical analysis is verified by numerical simulation.