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Application Of Insensitivity Analysis Of Coverage Processes To Wireless Sensor Networks

机译:覆盖过程不敏感度分析在无线传感器网络中的应用

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Randomly distributed wireless sensors used to monitor and detect a moving object were investigated, and performance measures such as the expected time/space detection ratio were theoretically analyzed. In particular, the insensitivities (robustness) of the performance measures to the conditions of the distributed wireless sensors and the target object were analyzed. Robust explicit equations for these performance measures were derived, and these equations can be used to calculate them without knowing the sensing area shape or the target object trajectory. These equations were applied to the following two applications. (1) They were used to estimate the impact of active/sleeping state schedule algorithms of sensors on the expected ratio of the time that the sensors detect the target object during its movement. The results were used to identify the active state schedule that increases the expected time ratio. (2) They were also applied to a sensor density design method that uses a test object. This method can be used to ensure that the expected time ratio that at least one sensor can detect the target satisfies the target value without knowing the sensing area size or the movement of the target object.
机译:研究了用于监视和检测运动物体的随机分布的无线传感器,并从理论上分析了诸如预期的时间/空间检测率之类的性能指标。特别地,分析了性能度量对分布式无线传感器和目标对象的条件的不敏感(鲁棒性)。导出了针对这些性能指标的鲁棒的显式方程式,并且这些方程式可用于在不知道感测区域形状或目标物体轨迹的情况下进行计算。这些方程式适用于以下两个应用程序。 (1)它们被用来估计传感器的活动/睡眠状态调度算法对传感器在目标物体运动期间检测目标物体的预期时间比率的影响。结果用于确定增加预期时间比率的活动状态计划。 (2)它们还被应用于使用测试对象的传感器密度设计方法。该方法可以用于确保至少一个传感器可以检测到目标的预期时间比满足目标值,而无需知道感测区域的大小或目标物体的运动。

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