Coverage Reliability Evaluation of Wireless Sensor Network Considering Common Cause Failures Based on D-S Evidence Theory

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.

Automated summary

This article evaluates the coverage reliability of wireless sensor networks from a new perspective using the D-S evidence theory. It establishes a belief-degree-coverage model considering common cause failures and proposes two algorithms to calculate three reliability indexes. The first algorithm, the perimeter coverage algorithm considering interference, shows better complexity compared to others, while the second algorithm, based on Monte Carlo simulation, is easy to program and evaluate parameter influences on coverage reliability.