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Technology of Network & Communication
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1173-1177

Clustering protocol for wireless sensor network based on spatio-temporal weighted objective function

Zhao Yuanliang
Wang Tao
Li Ping
Wu Yating
Sun Yanzan
Wang Rui
School of Communication & Information Engineering, Shanghai University, Shanghai 200444, China

Abstract

According to the characteristics of energy limitation in wireless sensor networks, this paper proposed a clustering protocol based on spatiotemporal correlation weighted objective function particle swarm optimization algorithm(SC-WOFPSO). Firstly, this protocol used Kohonen neural network to extract the data similarity between nodes. In the process of clustering, this protocol comprehensively considered the data similarity between nodes, the distance between nodes and the residual energy of cluster head nodes, and used PSO algorithm for iterative optimization to find the optimal cluster head set. In the process of cluster, the non cluster head nodes in the network calculated the goal function value for each cluster head, and chose to join the cluster head with the maximum function value. Finally, this paper started from the three performance indicators of total network energy consumption, network life and network throughput to verify the protocol. The result shows that this protocol can effectively reduce network energy consumption, increase network life and network throughput.

Foundation Support

国家自然科学基金资助项目(61671011,61771299)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.09.0416
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 4
Section: Technology of Network & Communication
Pages: 1173-1177
Serial Number: 1001-3695(2022)04-036-1173-05

Publish History

[2021-12-08] Accepted Paper
[2022-04-05] Printed Article

Cite This Article

赵远亮, 王涛, 李平, 等. 基于时空加权目标函数的无线传感网分簇协议 [J]. 计算机应用研究, 2022, 39 (4): 1173-1177. (Zhao Yuanliang, Wang Tao, Li Ping, et al. Clustering protocol for wireless sensor network based on spatio-temporal weighted objective function [J]. Application Research of Computers, 2022, 39 (4): 1173-1177. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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