无线传感器网络中传感器复杂化决策中的目标联合检测与分类

IF 0.4 4区计算机科学 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC

Journal of Communications Technology and Electronics Pub Date : 2024-01-02 DOI:10.1134/s1064226923100121

V. I. Parfenov, A. A. Kalininskii

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引用次数: 0

摘要

摘要针对无线传感器网络径向结构的物体联合检测和分类，开发了一种最佳复合算法。该算法的基础是根据传感器的特性，由单个传感器以各自的权重对物体是否属于某一特定类别的决定进行处理。可以在解决工作中提出的优化问题的基础上，选择所用传感器的数量和类型。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Joint Detection and Classification of Objects in Complexing Decisions Made by Sensors in Wireless Sensor Networks

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Joint Detection and Classification of Objects in Complexing Decisions Made by Sensors in Wireless Sensor Networks

Abstract

An optimal complex algorithm for the joint detection and classification of objects with a radial structure of wireless sensor networks has been developed. This algorithm is based on the processing of decisions about the belonging of an object to a particular class by individual sensors with their own weight, depending on the characteristics of the sensor. The choice of the number and types of sensors used can be carried out on the basis of solving the optimization problem presented in the work.

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来源期刊

Journal of Communications Technology and Electronics 工程技术-电信学

CiteScore

1.00

自引率

20.00%

发文量

170

审稿时长

10.5 months

期刊介绍： Journal of Communications Technology and Electronics is a journal that publishes articles on a broad spectrum of theoretical, fundamental, and applied issues of radio engineering, communication, and electron physics. It publishes original articles from the leading scientific and research centers. The journal covers all essential branches of electromagnetics, wave propagation theory, signal processing, transmission lines, telecommunications, physics of semiconductors, and physical processes in electron devices, as well as applications in biology, medicine, microelectronics, nanoelectronics, electron and ion emission, etc.