Technology of Network & Communication
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 1
273-277

Multi-objective routing perception method using improved ILP and binary exhaustive selection method for low cost IoT traffic

Guo Hongyan1
Qiu Daoyin2
1. Dept. of Information Engineering, Zhengzhou Vocational University of Information & Technology, Zhengzhou 450046, China
2. School of Electric Power, North China University of Water Resources & Electric Power, Zhengzhou 450045, China
DOI: 10.19734/j.issn.1001-3695.2019.11.0631

Abstract

Aiming at the problem that integer linear programming model combined with the preferred method of binary exhaustive multi-objective routing perception mixture low cost network flow method for wireless network can't support the demand for diverse applications and uninstall mobile communication core problem of high cost, this paper proposed an integer linear programming model combining with the preferred method of binary exhaustive mixture low cost network flow multi-objective routing technology. Firstly, based on the improved integer linear programming(IILP) model, it modeled the traffic routing perception of the mixture network to obtain the accurate energy perception model. Secondly, it used the multi-objective routing sensing model by using the multi-objective MAXI routing sensing algorithm, which reduced the latency of traffic routing solving. Finally, it extended the throughput of traffic routing perception by binary exhaustive selection method. Experiments show that compared with the existing algorithm, the proposed exhaustive mixture low cost network flow multi-objective routing method has reduced the delay of solving perception, improved the traffic throughput, reduce the packet loss rate of the flow, at the same time, also reduce the cost of mixture networking multi-objective routing perception.

Foundation Support

河南省科技厅科技攻关计划资助项目(182102210576)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.11.0631
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 1
Section: Technology of Network & Communication
Pages: 273-277
Serial Number: 1001-3695(2021)01-055-0273-05

Publish History

[2021-01-05] Printed Article

Cite This Article

郭红艳, 邱道尹. 利用改进ILP和二进制穷举择优法的低成本物联网流量多目标路由感知方法 [J]. 计算机应用研究, 2021, 38 (1): 273-277. (Guo Hongyan, Qiu Daoyin. Multi-objective routing perception method using improved ILP and binary exhaustive selection method for low cost IoT traffic [J]. Application Research of Computers, 2021, 38 (1): 273-277. )

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  • Application Research of Computers Monthly Journal
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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