无线传感器网络中分散估计的能量效率

Proceedings of the 2014 International Workshop on Web Intelligence and Smart Sensing Pub Date : 2014-09-01 DOI:10.1145/2637064.2637105

Hiroyuki Ohkura, S. Honda

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引用次数: 0

摘要

对于wsn来说，提高分散估计的精度和降低能量消耗是很重要的，但很难同时实现这两个目标。本文采用了一种量化创新过程的卡尔曼滤波方法，继承了前人的研究成果，展示了另一个方向，以获得关于能源效率与改进分散估计之间的平衡的新见解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Energy Efficiency of Decentralized Estimation in Wireless Sensor Networks

For WSNs, it is important to improve the accuracy of decentralized estimation and reduce energy consumption however difficult to achieve both of these goals at the same time. In this paer, a Kalman filtering approach with quantization of innovation processes is used for such purposes by following preceeding researches and showing another direction to attain new insights about the balance between energy efficiency and improvement of decentralized estimation.

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Proceedings of the 2014 International Workshop on Web Intelligence and Smart Sensing

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