2019 Vol.2 Dec. No.6

• Title: Research on Heterogeneous Converged Network Resource Management Algorithm Based on Information Security Transmission
• Name: Enomoto Noriyo
• Company: Tokyo University of Science
• Abstract:

  Due to the traditional algorithm for the management of heterogeneous network resources, there are problems of large error and low security. Therefore, a heterogeneous converged network resource management algorithm based on information security transmission is proposed. The algorithm utilizes the advantages of information security transmission technology to collect resources in heterogeneous converged networks, then optimizes resource management algorithms, and establishes a resource management algorithm model based on information security transmission to realize the management process of heterogeneous converged network resources. Through the method of experimental argumentation and analysis, the effectiveness of the resource management algorithm based on information security transmission is determined, which can reduce the resource management error and improve the security performance and management accuracy in the resource management process.

• Keyword: Information Security Transmission; Heterogeneous Converged Network; Resource Management; Management Algorithm;
• DOI: 10.12250/jpciams2019060651
• Citation form: Enomoto Noriyo.Research on Heterogeneous Converged Network Resource Management Algorithm Based on Information Security Transmission[J]. Computer Informatization and Mechanical System, 2019, vol. 2, pp. 51-57.

[1] Lu Dong. Key Technologies of Wireless Resource Management in Heterogeneous Wireless Fusion Networks [J]. Electronic Technology and Software Engineering, 2016, 15 (9): 38-39.

[2] Yu Fenjuan. Research on Visual Fusion Analysis Method Based on Multivariate Heterogeneous Network Security Data [J]. Automation and Instruments, 2018, 19 (7): 59-63.

[3] Rong Jingbao, Liang Yajing. Discussion on the security of heterogeneous networks based on multi-type communication networks [J]. China Informatization, 2017, 45 (8): 75-77.

[4] Zhu Haidong, Ge Wancheng. Research on Heterogeneous Network Fusion Mechanism in Vehicle Networking [J]. Communication Technology, 2017, 50 (8): 1691-1695.

[5] Zhang Yao, Li Shuyu, Tang You. Research on Multi-source Heterogeneous Knowledge Fusion Algorithms under Big Data [J]. Computer Technology and Development, 2017, 27 (9): 12-16.

[6] Dong Chunli, Wang Li. Research on Heterogeneous Wireless Network Fusion Handoff Algorithms [J]. Wireless Interconnection Technology, 2016, 56 (6): 23-25.

[7] Wang Peilin. Radio Resource Management for Intelligent Distribution-Oriented Heterogeneous Fusion Network [J]. Electronic Testing, 2016, 41 (12x): 63-64.

[8] He Yingjie, Wang Haitao, Zhang Jigang, etc. A heterogeneous wireless network resource management architecture based on cloud computing [J]. Telecom Express: Network and Communication, 2017, 58 (12): 17-20.

[9] Xu Yongjun, Li Guoquan, Xu Peng, et al. A review of resource allocation algorithms for heterogeneous wireless networks [J]. Journal of Chongqing University of Posts and Telecommunications (Natural Science Edition), 2018, 36 (3):78-79.

[10] Chen Yu, Zheng Lin, Li Xiaoji. Resource optimization of public LTE and multi-hop WiFi convergence networks supporting emergency services [J]. Information Communications, 2016, 74 (5): 205-208.

[11] Xue Jianbin, Liang Yanhui. Research on D2D resource optimization algorithm in heterogeneous networks [J]. Application of electronic technology, 2017, 43 (10): 99-102.

[12] Li Shaoping, Qin Zhaoguang. Research on Water Injection Allocation Algorithms for Vehicle Networking under Heterogeneous Networks [J]. Electronic Design Engineering, 2016, 24 (9): 139-143.