基于半马尔可夫过程的异质WSNs可用度评估

AVAILABILITY MEASUREMENT FOR HETEROGENEOUS WSNS BASED ON SEMI-MARKOV PROCESS

  • 摘要: 为评估异质无线传感器网络(HWSNs)的可用性,提出一种异质传感器节点状态更契合实际情况的SEQIRD(Susceptible Exposed Quarantined Infected Recovered Dead)新模型。使用半马尔可夫过程描述节点各状态之间的动态转换过程,得到各个状态的稳态概率,并计算得出不同拓扑结构下整个HWSNs稳态可用度。最后进行数值分析,以验证初始感染率、感染变化率和恢复率对HWSNs稳态可用度的影响。

     

    Abstract: In order to measure the availability of heterogeneous wireless sensor networks (HWSNs), a new Susceptible Exposed Quarantined Infected Recovered Dead (SEQIRD) model with heterogeneous sensor node states is proposed, which is more suitable for the actual situation. The semi-Markov process was utilized to depict states of the node's dynamic transition process, and the steady-state probability of each state was obtained. The entire HWSNs steady-state availability under different topologies could be computed. Numerical analyses were performed to verify the influence of the initial infection rate, infection change rate and recovery rate on the steady-state availability of HWSNs.

     

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