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【答案】应助回帖
★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★
感谢参与，应助指数 +1
hnzz001: 金币+50, ★★★★★最佳答案, 谢谢 2020-12-02 13:31:11
心静_依然: LS-EPI+1, 感谢应助 2020-12-03 12:41:50
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作者: He, YQ (He, Yongqiang)
标题: Study on the algorithm for smart community sensor network routing with adaptive optimization via cluster head election
来源出版物: COMPUTATIONAL INTELLIGENCE
DOI: 10.1111/coin.12304
提前访问日期: FEB 2020
在 BIOSIS Citation Index 中的被引频次: 0
在中国科学引文数据库中的被引频次: 0
SciELO Citation Index 中的 "被引频次": 0
Arabic Citation Index 中的 "被引频次": 0
Russian Science Citation Index 中的 "被引频次": 0
Web of Science 核心合集中的 "被引频次": 0
被引频次合计: 0
ISSN: 0824-7935
eISSN: 1467-8640
入藏号: WOS:000517238500001
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Accession number: 20201008259368
Title: Study on the algorithm for smart community sensor network routing with adaptive optimization via cluster head election
Authors: Yongqiang, He1, 2
Author affiliation:
1 College of Computer, Henan University of Engineering, Zhengzhou, China
2 Henan IoT Engineering Research Center of Smart Building, Zhengzhou, China
Corresponding author: Yongqiang, He (yqhe@haue.edu.cnemailyqhe@haue.edu.cn) Yongqiang, He (yqhe@haue.edu.cn)
Source title: Computational Intelligence
Abbreviated source title: Comput Intell
Volume: 36
Issue: 4
Issue date: November 2020
Publication year: 2020
Pages: 1663-1671
Language: English
ISSN: 08247935
E-ISSN: 14678640
CODEN: COMIE6
Document type: Journal article (JA)
Publisher: Blackwell Publishing Inc.
Abstract: To reduce the uneven energy consumption for the data transmission and extend network life of intelligent community sensor network, an adaptive routing optimized algorithm for intelligent community sensor networks with cluster head election is proposed. In this algorithm, a three-dimensional clustering method adapted to the structure of intelligent community sensor network is proposed. The three-dimensional clustering method uses the cluster head election mechanism based on minimizing the total transmission loss to optimize the energy of the intelligent community sensor network. Second, an adaptive ant colony propagation method is proposed to solve the problem of intercluster data propagation after clustering. With the best path finding algorithm of ant colony algorithm, energy balance routing with lower energy loss and lower packet error rate is proposed. Finally, the simulation results show that the algorithm has better performance in reducing energy consumption and delay, improving transmission efficiency and node survival time.
© 2020 Wiley Periodicals, Inc.
Number of references: 18
Main heading: Clustering algorithms
Controlled terms: Ant colony optimization - Cluster analysis - Computer aided software engineering - Energy dissipation - Energy efficiency - Energy utilization - Routing algorithms - Sensor networks - Smart city
Uncontrolled terms: Adaptive ant colonies - Ant colony algorithms - Cluster-head elections - Clustering routing - Intelligent community - Network lives - Reducing energy consumption - Transmission efficiency
Classification code: 525 Energy Management and Conversion - 723 Computer Software, Data Handling and Applications - 903.1 Information Sources and Analysis - 921.5 Optimization Techniques
DOI: 10.1111/coin.12304
Funding Details: NumberAcronymSponsor18A520005-Key Scientific Research Project of Colleges and Universities in Henan Province
Funding text: This work was support by The key scientific research project of Henan Province (18A520005).
Database: Compendex |
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