无线传感网络监测质量的统计分析

摘要/Abstract

摘要： 无线传感网络作为一种新型的网络技术是当今国内外深受关注的热点研究领域。它是一种新型的网络技术，能够实时地采集分布在网络中的数据信息，并将这些信息传输到网关节点，最终完成复杂的网络监测和跟踪目标的工作。为了解决无线传感网络所面临的挑战，对无线传感网络目标覆盖问题，考虑到随机事件参数未知的指数分布，对随机事件的监测质量进行统计分析，在无线传感网络的背景下对其覆盖问题进行优化。首先，对无线传感网络的背景及现状进行介绍，引出本文的研究目的是对无线传感网络的监测质量进行分析。其次，对无线传感网络的覆盖进行优化调度建立相应网络的模型，设计优化的模拟退火算法，结合统计知识分析，利用参数估计研究其监测质量。最后，通过仿真实验验证本文方法的合理性以及有效性，最终达到延长网络寿命的目的。

关键词: 无线传感网络, 监测质量, 参数估计, 模拟退火算法

Abstract: As a new network technology, wireless sensor network is a hot research field at home and abroad. It is a new network technology, which can collect the data information distributed on the network in real time, and transmit the information to the gateway node, and finally complete the complex network monitoring and tracking work. In order to solve the challenges faced by wireless sensor networks, for the problem of target coverage in wireless sensor networks, considering the exponential distribution of unknown random event parameters, the monitoring quality of random events is statistically analyzed, and the coverage problem is optimized under the background of wireless sensor networks. Firstly, the background and current situation of wireless sensor network are introduced. The purpose of this paper is to analyze the monitoring quality of wireless sensor network. Secondly, the coverage of wireless sensor network is optimized, the corresponding network model is established, and the optimized simulated annealing algorithm is designed. Combined with statistical knowledge analysis, the monitoring quality is studied by parameter estimation. Finally, the rationality and effectiveness of the method proposed in this paper are verified by the simulation experiment, and the purpose of prolonging the network lifetime is finally achieved.

Key words: wireless sensor network, monitoring quality, parameter estimation, simulated annealing algorithm

白雪, 程宗毛. 无线传感网络监测质量的统计分析[J]. 计算机与现代化, 2021, 0(08): 1-5.

BAI Xue, CHENG Zong-mao. Statistical Analysis of Wireless Sensor Network Monitoring Quality[J]. Computer and Modernization, 2021, 0(08): 1-5.

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