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Technology of Network & Communication
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 8
2438-2442

Vertical handoff algorithm based on mobile user location prediction

Meng Lei1
Tang Xin2
Xu Yanyan1
1. State Key Laboratory of Information Engineering in Surveying, Mapping & Remote Sensing, Wuhan University, Wuhan 430079, China
2. Kunming Institute of Physics, Kunming 650223, China
DOI: 10.19734/j.issn.1001-3695.2022.01.0007

Abstract

Most existing vertical handoff algorithms cannot realize seamless handoff and provide stable communication services for mobile users in heterogeneous wireless networks. In order to solve the above problems, this paper proposed a vertical handoff algorithm based on mobile user location prediction. Firstly, using the similar regular characteristics of the mobile trajectories of each user, the algorithm trained the long short term memory(LSTM) model offline and used it to predict the location of each mobile user at the next moment online, and estimated the multi-attribute parameters of the future networks. After that, the algorithm used fuzzy logic to analyze the return set of all optional networks under the condition of multi-attribute parameters, and selected the network with the highest return in order to complete the handoff decision. The experimental results show that the proposed algorithm has better handover performance than the existing handover algorithms in terms of the number of handoff, the number of handoff failures, switching time and memory resource consumption under different mobile speeds and the scale of users. In conclusion, it can realize seamless handoff in heterogeneous wireless networks.

Foundation Support

国家重点研发计划资助项目(2017YFB0504202)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.01.0007
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 8
Section: Technology of Network & Communication
Pages: 2438-2442
Serial Number: 1001-3695(2022)08-033-2438-05

Publish History

[2022-03-15] Accepted Paper
[2022-08-05] Printed Article

Cite This Article

孟磊, 唐鑫, 徐彦彦. 基于移动用户位置预测的垂直切换算法 [J]. 计算机应用研究, 2022, 39 (8): 2438-2442. (Meng Lei, Tang Xin, Xu Yanyan. Vertical handoff algorithm based on mobile user location prediction [J]. Application Research of Computers, 2022, 39 (8): 2438-2442. )

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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