基于网络评价和时隙分配的网络接入策略优化

doi:10.12305/j.issn.1001-506X.2025.08.33

系统工程与电子技术 ›› 2025, Vol. 47 ›› Issue (8): 2753-2762.doi: 10.12305/j.issn.1001-506X.2025.08.33

• 通信与网络 • 上一篇

基于网络评价和时隙分配的网络接入策略优化

张治霖¹^,²(), 王婷婷³, 毛忠阳¹^,²^,*, 陆发平¹^,², 孙宏伟³, 祝经⁴

1. 海军航空大学，山东烟台 264001
2. 山东省海空信息感知与处理技术重点实验室，山东烟台 264001
3. 中国人民解放军 93786部队，河北张家口 075000
4. 中国人民解放军 92192部队，浙江宁波 315000

收稿日期:2024-06-06 出版日期:2025-08-25 发布日期:2025-09-04
通讯作者: 毛忠阳 E-mail:zzl19970811@163.com
作者简介:张治霖（1997—），男，博士研究生，主要研究方向为智能组网、网络资源管理
王婷婷（1988—），女，工程师，硕士，主要研究方向为智能组网、网络资源管理
陆发平（1991—），男，讲师，博士，主要研究方向为现代通信系统、非正弦波通信、智能组网
孙宏伟（1978—），男，正高级工程师，博士，主要研究方向为智能组网、网络资源管理
祝　经（1997—），男，助理工程师，硕士，主要研究方向为现代通信系统、智能组网
基金资助:
山东省“泰山学者”建设工程专项经费（ts20081330）；山东省自然科学基金（ZR2023MD045）资助课题

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. 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:2025-08-25 Published:2025-09-04
Contact: Zhongyang MAO E-mail:zzl19970811@163.com

摘要/Abstract

摘要：

海上异构无线网络覆盖下的业务需求和节点多种多样，这就要求网络资源在分配时需要兼顾匹配性和网络性能。相邻多节点在选择无线网络时，易产生策略冲突并大量接入同一网络，进而导致网络负载不均衡、接入阻塞率高和服务质量（quality of service，Qos）降低。针对以上问题提出一种基于网络评价和时隙分配的网络接入选择算法，设计网络评价模块、时隙分配模块和接入决策模块，通过业务评价和阻塞率估计对可选网络进行综合评价以提高匹配性，根据节点执行业务的优先级对多节点进行时隙分配，依序优化网络接入策略。仿真结果表明，相对于负载均衡和多属性决策算法，所提算法的节点平均接入阻塞率降低了32.09%, 20.87%，节点平均吞吐量提升了76.90%, 33.25%，网络的负载均衡性和传输效率均得到有效提升。

关键词: 海上异构无线网络, 网络接入选择, 优先级, 吞吐量, 负载均衡

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

中图分类号:

TN 92

张治霖, 王婷婷, 毛忠阳, 陆发平, 孙宏伟, 祝经. 基于网络评价和时隙分配的网络接入策略优化[J]. 系统工程与电子技术, 2025, 47(8): 2753-2762.

Zhilin ZHANG, Tingting WANG, Zhongyang MAO, Faping LU, Hongwei SUN, Jing ZHU. Network access strategy optimization based on network evaluation and time slot allocation[J]. Systems Engineering and Electronics, 2025, 47(8): 2753-2762.

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仿真参数	参数范围
机动站点个数	3
机动站点速度/（m/s）	0~15.45
移动节点速度/（m/s）	83~170
每个机动站点的网络数	3
网络带宽/Kbps	100~1000
网络丢包率（$ \times {10^{ - 5}}$）	<50
网络包抖动/ms	<15
网络包延时/ms	<50
移动节点总数	10
交互类业务需求带宽/Kbps	10~100
交互类业务个数	100
交互类业务优先级标号	1~10
会话类业务需求带宽/Kbps	100~300
会话类业务个数	50
会话类业务优先级标号	11~20
流媒体类业务需求带宽/Kbps	300~1000
流媒体类业务个数	30
流媒体类业务优先级标号	21~30

算法	节点平均阻塞率/%	节点平均吞吐量/Kbps
LB	46.99	129.66↓
MADM	35.77	172.13
MADM-T	35.77	173.65
LB-T	50.55↑	134.08
MRVA-P	23.09	196.33
本文算法	14.90↓	229.37↑

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基于网络评价和时隙分配的网络接入策略优化

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

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