Network Selection Algorithm Based on Hilbert Space Vector Weighting

MAO Zhongyang; WANG Tingting; LU Faping; ZHANG Zhilin; KANG Jiafang

doi:10.11999/JEIT230641

Volume 46 Issue 6

Jun. 2024

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Article Navigation > Journal of Electronics & Information Technology > 2024 > 46(6): 2470-2479

MAO Zhongyang, WANG Tingting, LU Faping, ZHANG Zhilin, KANG Jiafang. Network Selection Algorithm Based on Hilbert Space Vector Weighting[J]. Journal of Electronics & Information Technology, 2024, 46(6): 2470-2479. doi: 10.11999/JEIT230641

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MAO Zhongyang, WANG Tingting, LU Faping, ZHANG Zhilin, KANG Jiafang. Network Selection Algorithm Based on Hilbert Space Vector Weighting[J]. Journal of Electronics & Information Technology, 2024, 46(6): 2470-2479. doi: 10.11999/JEIT230641

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Network Selection Algorithm Based on Hilbert Space Vector Weighting

doi: 10.11999/JEIT230641

MAO Zhongyang^{1, 2},
WANG Tingting^{1, 2, 3
,
,},
LU Faping^{1, 2},
ZHANG Zhilin^{1, 2},
KANG Jiafang^{1, 2}

1.
Aviation Communication Teaching and Research Section, Naval Aeronautic University, Yantai 264001, China
2.
State Key Laboratory of Signal and Information Processing of Shandong, Naval Aeronautic University, Yantai 264001, China
3.
Unit 93786, PLA, Zhangjiakou 075000, China

Funds: The National Basic Research Program of China (61701518), The Special Fund for Construction Project of “Taishan Scholars” of Shandong Province (TS20081330), Shandong Province Natural Science Foundation (ZR2023MD045)

Received Date: 2023-06-29
Rev Recd Date: 2023-12-01

Available Online: 2024-01-28

Publish Date: 2024-06-30

Abstract

Abstract

In order to improve the service completion rate of mobile nodes and the efficiency of network resource allocation in maritime heterogeneous wireless network, a network access selection algorithm based on Hilbert space vector assignment is proposed to address the problems of poor matching between existing network selection algorithms and service demands, and low service completion rate in dynamic environment. The algorithm adopts the network-service matching model based on Hilbert space, maps the network characteristics and service requirements to the same space, and measures whether the network meets the service requirements in the same coordinate system; at the same time, it adopts the pre-switching network selection algorithm based on the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method, and introduces the network-service matching weights to correct the normalization matrix of the distance-to-preferred-solution method, so as to ensure that the selected network matches the service requirements, and to ensure that the network matches the service requirements. This ensures that the selected network matches the service requirements and overcomes the problems of traditional network selection where the service requirements are less considered and the network characteristics and service requirements are difficult to be measured uniformly. In addition, the network switching control algorithm based on spatial distance is adopted, and matching weight and spatial distance are introduced into the network switching control to ensure the continuity of service transmission and improve the service completion rate in the dynamic environment. Simulation results show that compared with the comparison algorithm, the service completion rate of this algorithm is improved by at least 6.81%, which effectively improves the service transmission capacity and smoothness of the network, and indirectly realizes the effective allocation of network resources.
- Maritime heterogeneous wireless network,
- Access selection,
- Hilbert space,
- Business requirement,
- TOPSIS

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References(23)

References

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