Systems Engineering and Electronics ›› 2025, Vol. 47 ›› Issue (8): 2753-2762.doi: 10.12305/j.issn.1001-506X.2025.08.33

• Communications and Networks • Previous Articles     Next Articles

Network access strategy optimization based on network evaluation and time slot allocation

Zhilin ZHANG1,2(), Tingting WANG3, Zhongyang MAO1,2,*, Faping LU1,2, Hongwei SUN3, Jing ZHU4   

  1. 1. Naval Aeronautic University,Yantai 264001,China
    2. Shandong Key Laboratory of Sea and Air Information Perception and Processing Technology,Naval Aeronautic University,Yantai 264001,China
    3. Unit 93786 of the PLA,Zhangjiakou 075000,China
    4. Unit 92192 of the PLA,Ningbo 315000,China
  • Received:2024-06-06 Online:2025-08-31 Published:2025-09-04
  • Contact: Zhongyang MAO E-mail:zzl19970811@163.com

Abstract:

The service needs and nodes under the coverage of the maritime heterogeneous wireless networks are diverse, which requires the matching and network performance of network resources to be allocated in a balanced manner. When multiple adjacent nodes choose a wireless network, they are prone to policy conflicts and a large number of nodes access to the same network, which leads to unbalanced network load, high access congestion rate, and reduced quality of service (QoS). In order to solve the above problems, a network access selection algorithm based on network evaluation and time slot allocation is proposed, through the design of network evaluation module, time slot allocation module and access decision module, the comprehensive evaluation of the optional network through service evaluation and blocking rate estimation is carried out to improve the matching, and the time slot allocation of multiple nodes is carried out according to the priority of node execution service, and the network access strategy is optimized sequentially. The simulation results show that compared with the load balancing and multi-attribute decision algorithms, the average access blocking rate of the proposed algorithm is reduced by 32.09% and 20.87%, and the average throughput of nodes is increased by 76.90% and 33.25%, and the load balancing and transmission efficiency of the network are effectively improved.

Key words: maritime heterogeneous wireless network, network access selection, priority level, throughput, load balancing

CLC Number: 

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