Node Configuration Algorithm of Energy Heterogeneous Sensor Networks

IF 5 2区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Qian Sun, Xiangyue Meng, Xiao Peng, Zhiyao Zhao, Jiping Xu, Huiyan Zhang, Li Wang, Jiabin Yu, Xianglan Guo
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引用次数: 0

Abstract

The performance of heterogeneous sensor networks is enhanced by high-energy heterogeneous nodes. Determining the number and deployment of heterogeneous nodes is a significant research issue. A heterogeneous node configuration algorithm is presented in this paper, which can be used for overall network planning before the deployment of heterogeneous nodes. Subsequently, factors such as network performance and economic cost are comprehensively considered, and integrated into a single index using the entropy weighting method. The proportion of different indicators is then determined, and a formula for calculating the required number of heterogeneous nodes under various network conditions is derived by considering parameters such as network area size, node communication threshold distance, and the number of common nodes. Experimental results demonstrate that the proposed algorithm not only reduces networks costs but also enhances overall networks performance.

Abstract Image

能量异构传感器网络节点配置算法
高能异构节点可以提高异构传感器网络的性能。确定异构节点的数量和部署是一个重要的研究问题。本文提出了一种异构节点配置算法,可用于异构节点部署前的整体网络规划。然后综合考虑网络性能、经济成本等因素,采用熵权法将其整合为单一指标。然后确定不同指标的比例,并综合考虑网络面积大小、节点通信阈值距离、公共节点数量等参数,推导出各种网络条件下所需异构节点数的计算公式。实验结果表明,该算法不仅降低了网络开销,而且提高了网络的整体性能。
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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来源期刊
International Journal of Intelligent Systems
International Journal of Intelligent Systems 工程技术-计算机:人工智能
CiteScore
11.30
自引率
14.30%
发文量
304
审稿时长
9 months
期刊介绍: The International Journal of Intelligent Systems serves as a forum for individuals interested in tapping into the vast theories based on intelligent systems construction. With its peer-reviewed format, the journal explores several fascinating editorials written by today''s experts in the field. Because new developments are being introduced each day, there''s much to be learned — examination, analysis creation, information retrieval, man–computer interactions, and more. The International Journal of Intelligent Systems uses charts and illustrations to demonstrate these ground-breaking issues, and encourages readers to share their thoughts and experiences.
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