基于跟踪概率与传感器密度关系的多点运动目标无线传感器网络设计

K. Tsukamoto, H. Ueda, H. Tamura, K. Kawahara, Y. Oie
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引用次数: 10

摘要

为了以合理的价格构建大规模的无线传感器网络,研究了无线传感器网络中各传感器能力相对有限的运动目标跟踪问题。在之前的研究中,我们提出了一种简单的多点运动目标监控方案,并证明了该方案以低功耗实现了高跟踪概率。然而,我们并没有提出设计WSN以完全满足广泛的用户需求的指导方针。因此,在本研究中,我们通过模拟来检验跟踪概率与传感器密度之间的关系,然后推导出一个近似表达式来表示这种关系。因此,我们展示了传感器密度、跟踪概率和满足各种应用需求的监测传感器数量的指导方针。
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Design of Wireless Sensor Network for Multi-Point Surveillance of a Moving Target Based on the Relationship Between Tracking Probability and Sensor Density
In this paper, we focus on the problem of tracking a moving target in a wireless sensor network (WSN) in which the capability of each sensor is relatively limited in order to construct large-scale WSNs at a reasonable price. In our prior study, we proposed a simple multi-point surveillance scheme for a moving target in a WSN and demonstrated that the scheme achieved high tracking probability with low power consumption. However, we have not suggested guidelines for designing the WSN to completely satisfy the wide range of user requirements. Therefore, in this study, we examine the relationship between tracking probability and sensor density through simulations, and then derive an approximate expression representing the relationship. As a result, we show guidelines for sensor density, tracking probability, and the number of monitoring sensors that satisfy a variety of application demands.
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