无线传感器网络的生存性评估

当前无线传感器网络的生存性评估模型均假设网络的节点分布符合某种规律且在长期的运行中规律保持不变，但该种模型未考虑节点的移动性。针对以上问题进行了研究，通过引入节点的移动速率建立连续时间马尔科夫链表示的评估模型，该模型不依赖于网络的拓扑，能准确反映出节点的实际分布情况；其次研究不同攻击和故障对节点隔离的影响；稳态连通概率是刻画可生存性最为重要的指标，最后提出该指标的计算方法。仿真实验结果表明，本文提出的生存性评估模型能够对无线传感器网络的生存性进行有效的评估。

Survivability Evaluation in Wireless Sensor Networks

Currently, the survivability evaluation model of wireless sensor networks assumes that the distribution of nodes in the network conforms to some regularity and the regularity remains unchanged in the long run, but the model does not consider the mobility of nodes .Firstly, this paper established an evaluation model based on continuous-time Markov chain by introducing the moving rate of nodes. This model does not depend on the topology of the network and can accurately reflect the actual distribution of the nodes. Secondly, this paper studied the effects of different attacks and failures on node isolation. Steady-state connectivity probability is the most important index to describe survivability, so this paper proposed the calculation method of this index. The simulation results show that the survivability evaluation model proposed in this paper is effective for evaluating the survivability of wireless sensor networks.