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×÷Õß: He, YQ (He, Yongqiang)
±êÌâ: Study on the algorithm for smart community sensor network routing with adaptive optimization via cluster head election
À´Ô´³ö°æÎï: COMPUTATIONAL INTELLIGENCE
DOI: 10.1111/coin.12304
Ìáǰ·ÃÎÊÈÕÆÚ: FEB 2020
ÔÚ BIOSIS Citation Index Öеı»ÒýƵ´Î: 0
ÔÚÖйú¿ÆÑ§ÒýÎÄÊý¾Ý¿âÖеı»ÒýƵ´Î: 0
SciELO Citation Index ÖÐµÄ "±»ÒýƵ´Î": 0
Arabic Citation Index ÖÐµÄ "±»ÒýƵ´Î": 0
Russian Science Citation Index ÖÐµÄ "±»ÒýƵ´Î": 0
Web of Science ºËÐĺϼ¯ÖÐµÄ "±»ÒýƵ´Î": 0
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ISSN: 0824-7935
eISSN: 1467-8640
Èë²ØºÅ: WOS:000517238500001
¹Ø±Õ        Web of Science
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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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