In this article, the coverage reliability of wireless sensor network is evaluated from a new perspective. Based on the D–S evidence theory, we define the concept of belief degree of sensing result, establish a belief-degree-coverage model considering common cause failures, and define three indexes to evaluate the reliability of the above coverage model. In order to calculate the belief degree of the sensor's sensing result considering common cause failures, we use a membership function to obtain the basic probability assignment (BPA) of sensing results and derive the calculation formula of BPA of interference sources. Two algorithms to calculate three reliability indexes are proposed. The first is the perimeter coverage algorithm considering interference, the complexity of which is better than that of some other algorithm. The second is the algorithm based on Monte Carlo simulation, which is easy to program on the computer. We use the second algorithm to evaluate the coverage reliability and analyze the influence of parameters (the target's attribute value, interference factor, some threshold, and so on) on coverage reliability.

中文翻译：

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基于DS证据理论的考虑共因故障的无线传感器网络覆盖可靠性评估

本文从一个新的角度评估了无线传感器网络的覆盖可靠性。基于D–S证据理论，我们定义了感知结果置信度的概念，建立了考虑常见原因故障的置信度覆盖模型，并定义了三个指标来评估上述覆盖模型的可靠性。为了计算考虑到常见原因故障的传感器传感结果的置信度，我们使用隶属函数获得传感结果的基本概率分配（BPA），并推导了干扰源BPA的计算公式。提出了两种计算三个可靠性指标的算法。第一种是考虑干扰的周边覆盖算法，其复杂度优于某些其他算法。第二种是基于蒙特卡洛模拟的算法，该算法易于在计算机上进行编程。我们使用第二种算法评估覆盖可靠性，并分析参数（目标的属性值，干扰因子，一些阈值等）对覆盖可靠性的影响。