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Automatic Precision Control Positioning for Wireless Sensor Network

机译:无线传感器网络的自动精确控制定位

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摘要

By deploying a radio propagation model, we will be able to deduce the distance between the transmitter and the receiver based on received signal strength (RSS). This method is widely adopted in wireless sensor network (WSN) positioning systems. The ranging accuracy of such a system is extremely poor because of slow and fast fading. Although the former has been thoroughly analyzed, the latter is rarely discussed. This is based on the assumption that fast fading can be compensated for by averaging, but how many times RSS should be measured to obtain a certain level of precision remains unclear. In addition, positioning error is related to the distribution of sensors, which makes it both unstable and unreliable. In this paper, ranging error and positioning error are thoroughly discussed to achieve a better understanding of the poor performance of the system. Based on these theoretical analyses, an automatic precision control algorithm is proposed as a solution for the instability of RSS-based WSN positioning systems. Supported by both deduction and simulations, this method will improve the stability of WSN location systems. In addition, the energy consumption of ranging processes is minimized, while positioning accuracy is guaranteed.
机译:通过部署无线电传播模型,我们将能够基于接收信号强度(RSS)推断出发射机与接收机之间的距离。无线传感器网络(WSN)定位系统中广泛采用此方法。由于慢速和快速衰落,这种系统的测距精度极差。尽管对前者进行了详尽的分析,但很少讨论后者。这是基于这样的假设:可以通过求平均值来补偿快速衰落,但是尚不清楚应该测量多少次RSS以获得一定的精度。另外,定位误差与传感器的分布有关,这使其不稳定且不可靠。在本文中,对测距误差和定位误差进行了全面讨论,以更好地了解系统的性能。基于这些理论分析,提出了一种基于RSS的WSN定位系统不稳定性的自动精度控制算法。在推论和仿真的支持下,该方法将提高WSN定位系统的稳定性。另外,测距过程的能量消耗被最小化,同时保证了定位精度。

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