无线传感器网络低成本局部故障算法研究

Q4 Business, Management and Accounting
Jian Zhang
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引用次数: 0

摘要

无线传感器网络以其体积小、灵活、成本低、无人值守等特点,被广泛应用于环境监测、医疗保健、智能家居、军事等领域。由于环境恶劣、无人值守等原因,故障较为常见。为了保证无线传感器网络的正常工作,需要检测故障并定位故障传感器。本文研究了主动探测故障定位的基本方法,分析了主动探测的关键问题,并提出了解决这些问题的有效方法。首先,基于相邻矩阵选择探测站,设计最大贪心算法最小化探测集;其次,采用二分搜索法快速定位故障传感器;最后,提出了一种故障传感器的识别算法,并对其进行了评估。故障检测精度很高,而算法的实现复杂度很低,易于在硬件上实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research of a low-cost localised fault algorithm for wireless sensor networks
Because of its small, flexibility, low cost and unattended, wireless sensor networks (WSNs) are widely used in environmental monitor, healthcare, smart home, military fields, and so on. The faults are common due to the bad environment and unattended. In order to ensure WSNs' service is normal, it is necessary to detect the faults and locate the faulty sensors. In this paper, the basic method of fault localisation using active probing is studied, the key problems of active probing are analysed, and some effective solutions to these problems are provided. Firstly, based on adjacent matrix, probe stations are selected, and designed a maximal greedy algorithm to minimise probe sets. Secondly, binary search method is used to locate the faulty sensor quickly. Lastly, an algorithm to identify the faulty sensors is proposed and evaluated. Fault detection precision is very high, and the implementation complexity of the algorithm is very low, easily implemented in hardware.
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来源期刊
International Journal of Mobile Network Design and Innovation
International Journal of Mobile Network Design and Innovation Business, Management and Accounting-Management Information Systems
CiteScore
0.30
自引率
0.00%
发文量
0
期刊介绍: The IJMNDI addresses the state-of-the-art in computerisation for the deployment and operation of current and future wireless networks. Following the trend in many other engineering disciplines, intelligent and automatic computer software has become the critical factor for obtaining high performance network solutions that meet the objectives of both the network subscriber and operator. Characteristically, high performance and innovative techniques are required to address computationally intensive radio engineering planning problems while providing optimised solutions and knowledge which will enhance the deployment and operation of expensive wireless resources.
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