ISSN 1000-1239 CN 11-1777/TP

• 网络技术 •

### 基于接入请求时空分布的延迟容忍上传接入控制方法

1. (嘉兴学院数理与信息工程学院 浙江嘉兴 314001) (chenli20040415@163.com)
• 出版日期: 2019-05-01
• 基金资助:
浙江省自然科学基金项目(LY15F020040,LY16F020026,LY18F020020)；国家自然科学基金项目(61572014)；教育部人文社会科学研究青年基金资助项目(17YJCZH033)；浙江省教育厅科研项目(Y201636127,Y201840356)

### Delay Tolerant Access Control Method Based on Spatio-Temporal Distribution of Access Requests

Chen Li, Deng Kun,Jiang Tao,Yue Guangxue,Li Panpan,Yang Jun, Xu Xubao

1. (College of Mathematics Physics and Information Engineering, Jiaxing University, Jiaxing, Zhejiang 314001)
• Online: 2019-05-01

Abstract: In ocean observations, the infrastructure providing wireless communication is sparsely deployed and the wireless observation nodes move very fast. The limited or even scarce wireless network resources are difficult to meet the uploading requirements of large-scale data collection. It is extremely urgent to study and solve the effective upload access control method for massive observation nodes to compete for scarce communication resources. Based on the historical data of the observation access request, the neural network is used to perform time series analysis on them, and then gets their future revenues based on probability. To maximize total revenue, this paper studies the optimization method of uploading access scheduling problem that guarantees the delay tolerance of observation data based on time series analysis. Unfortunately, it is an NP-hard problem (see in theorem 1). Therefore, the approximation algorithm of enhanced access control (P-RSA) is proposed based on the dynamic programming idea. Firstly, the wireless access requests with spatio-temporal dynamic features is a quantified. Secondly, performance parameters are generalized to “revenue”. Finally, simulation experiments are performed that the total revenues of access requests are analysed under different AP’s load conditions until the deadline. P-RSA’s effectiveness is verified by detailed simulation experiments than the existing algorithms.