Vertical Handover Algorithm Considering Terminal Security and Resource Scheduling

MA Bin; CHEN Xin; XIE Xianzhong; ZHONG Shilin

doi:10.11999/JEIT210450

Volume 44 Issue 8

Aug. 2022

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MA Bin, CHEN Xin, XIE Xianzhong, ZHONG Shilin. Vertical Handover Algorithm Considering Terminal Security and Resource Scheduling[J]. Journal of Electronics & Information Technology, 2022, 44(8): 2792-2801. doi: 10.11999/JEIT210450

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MA Bin, CHEN Xin, XIE Xianzhong, ZHONG Shilin. Vertical Handover Algorithm Considering Terminal Security and Resource Scheduling[J]. Journal of Electronics & Information Technology, 2022, 44(8): 2792-2801. doi: 10.11999/JEIT210450

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Vertical Handover Algorithm Considering Terminal Security and Resource Scheduling

doi: 10.11999/JEIT210450

MA Bin^{1, 2},
CHEN Xin^{1, 2
,
,},
XIE Xianzhong²,
ZHONG Shilin^{1, 2}

1.
Institute of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2.
Chongqing Key Laboratory of Computer Network and Communication Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

Funds: The Major Project of Science and Technology Research of Chongqing Education Commission (KJZD-M201900602), The Key Project of Science and Technology Research of Chongqing Education Commission (KJZD-M201800603), The Foundation Research and Advanced Exploration Project of Chongqing (CSTC2018jcyjAX0432)

Received Date: 2021-05-25
Accepted Date: 2022-01-12
Rev Recd Date: 2021-12-17

Available Online: 2022-02-11

Publish Date: 2022-08-17

Abstract

Abstract

In ultra-dense heterogeneous wireless networks with malicious terminals, a Vertical Handover Algorithm Considering Terminal Security and Resource Scheduling (CTSRS-VHA) is proposed to solve the problem of low resource allocation efficiency and congestion caused by high concurrent access requests. Firstly, the terminal security evaluation model is built on the network side through the attack detection algorithm based on the finite state machine, and the terminal security degree is calculated. Secondly, a multi-objective optimization function is constructed based on network congestion, user data transmission rate and terminal security degree. Thirdly, by analyzing the comprehensive benefits between the network and the terminal, the multi-objective optimization function is converted into a single objective optimization function, and the solution is proved to be Pareto optimal. Finally, the simulation results and analysis show that the proposed algorithm can improve the network access security level and total throughput, and reduce the network congestion and handover failure rate.
- Ultra-dense heterogeneous wireless networks,
- Finite state machine,
- Attack detection,
- Exponential weighted moving average,
- Pareto optima

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References(19)

References

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