| Optimization of wireless network node deployment in smart city based on adaptive particle swarm optimization |
| Wang, Weiqiang
|
| 2020
|
| 发表期刊 | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
 |
| ISSN | 1064-1246
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| EISSN | 1875-8967
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| 卷号 | 39期号:4页码:4959-4969 |
| 摘要 | In smart city wireless network infrastructure, network node deployment directly affects network service quality. This problem can be attributed to deploying a suitable ordinary AP node as a wireless terminal access node on a given geometric plane, and deploying a special node as a gateway to aggregate. Traffic from ordinary nodes is to the wired network. In this paper, Pareto multi-objective optimization strategy is introduced into the wireless sensor network node security deployment, and an improved multi-objective particle swarm coverage algorithm based on secure connection is designed. Firstly, based on the mathematical model of Pareto multi-objective optimization, the multi-target node security deployment model is established, and the security connectivity and node network coverage are taken as the objective functions, and the problems of wireless sensor network security and network coverage quality are considered. The multi-objective particle swarm optimization algorithm is improved by adaptively adjusting the inertia weight and particle velocity update. At the same time, the elite archive strategy is used to dynamically maintain the optimal solution set. The high-frequency simulation software Matlab and simulation platform data interaction are used to realize the automatic modeling, simulation analysis, parameter prediction and iterative optimization of wireless network node deployment in smart city based on adaptive particle swarm optimization. Under the premise of meeting the performance requirements of wireless network nodes in smart cities, the experimental results show that although the proposed algorithm could not achieve the accuracy of using only particle swarm optimization algorithm to optimize the parameters of wireless network nodes in smart cities, the algorithm is completed. The antenna parameter optimization process takes less time and the optimization efficiency is higher. © 2020-IOS Press and the authors. |
| 关键词 | Antennas
Functions
Gateways (computer networks)
Iterative methods
MATLAB
Multiobjective optimization
Particle swarm optimization (PSO)
Sensor nodes
Smart city
Velocity control
Adaptive particle swarm optimizations
High-frequency simulation softwares
Multi-objective particle swarm optimization algorithms
Network infrastructure
Optimization efficiency
Particle swarm optimization algorithm
Performance requirements
Wireless network nodes
|
| DOI | 10.3233/JIFS-179981
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| 收录类别 | EI
; SCIE
|
| 语种 | 英语
|
| WOS研究方向 | Computer Science
|
| WOS类目 | Computer Science, Artificial Intelligence
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| WOS记录号 | WOS:000582322000014
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| 出版者 | IOS Press BV
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| EI入藏号 | 20204509451000
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| EI分类号 | 722 Computer Systems and Equipment
; 723 Computer Software, Data Handling and Applications
; 731.3 Specific Variables Control
; 921 Mathematics
|
| 原始文献类型 | Journal article (JA)
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| 出版地 | AMSTERDAM
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| 引用统计 |
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| 文献类型 | 期刊论文
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| 条目标识符 | https://ir.cqcet.edu.cn/handle/39TD4454/3202
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| 专题 | 重庆电子科技职业大学
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| 作者单位 | Chongqing College of Electronic Engineering, Chongqing; 401331, China
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| 第一作者单位 | 重庆电子科技职业大学
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推荐引用方式
GB/T 7714 |
Wang, Weiqiang. Optimization of wireless network node deployment in smart city based on adaptive particle swarm optimization[J].
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS,2020,39(4):4959-4969.
|
| APA |
Wang, Weiqiang.(2020).Optimization of wireless network node deployment in smart city based on adaptive particle swarm optimization.JOURNAL OF INTELLIGENT & FUZZY SYSTEMS,39(4),4959-4969.
|
| MLA |
Wang, Weiqiang."Optimization of wireless network node deployment in smart city based on adaptive particle swarm optimization".JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 39.4(2020):4959-4969.
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