An improved CSMA/CA algorithm based on WSNs of the drug control system

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成果类型：

期刊论文

作者：

Luo, Zhenjun;Zhong, Luo;Miao, Yongfei;Zhang, Kaisong*;Wu, Beiping

通讯作者：

Zhang, Kaisong

作者机构：

[Zhong, Luo; Miao, Yongfei; Zhang, Kaisong; Luo, Zhenjun] Wuhan Univ Technol, Sch Comp Sci & Technol, Wuhan 430067, Hubei, Peoples R China.

[Luo, Zhenjun] Hubei Inst Food & Drug Control, Wuhan 430064, Hunan, Peoples R China.

[Wu, Beiping; Miao, Yongfei] Dalian Air Force Sergeant Sch Commun, Dept Radio Nav, Dalian 116600, Liaoning, Peoples R China.

[Zhang, Kaisong] Wuhan Polytech Univ, Sch Mech Engn, Wuhan, Peoples R China.

通讯机构：

[Zhang, Kaisong] W

Wuhan Univ Technol, Sch Comp Sci & Technol, Wuhan 430067, Hubei, Peoples R China.

Wuhan Polytech Univ, Sch Mech Engn, Wuhan, Peoples R China.

语种：

英文

关键词：

WSNs;CSMA/CA;Energy efficient;Bayesian valuation;Artificial Neural Network

期刊：

Cluster Computing

ISSN：

1386-7857

年：

2017

卷：

期：

页码：

1345-1357

DOI：

10.1007/s10586-017-0828-1

基金类别：

National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61003130, 61303029]; Hubei Nature Foundation [2014CFC1021]; China Food and Drug Administration Fund [2012X1-029]; Fundamental Research Funds for the Central UniversitiesFundamental Research Funds for the Central Universities [2014-VII-027]

机构署名：

本校为通讯机构

院系归属：

机械工程学院

摘要：

A new improved CSMA/CA algorithm for wireless sensor networks (WSNs) is proposed in this paper to save energy and prolong the life cycle of WSNs. This algorithm is combined with the artificial neural network and Bayesian algorithm according to the practical applications of the drug control system of the Internet of Things. The algorithm is divided into two parts: first, the artificial neural network algorithm is used to estimate the data of WSNs, the results are the reference for the conversion of routing node frequency; second, by using the Ba...

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An improved CSMA/CA algorithm based on WSNs of the drug control system

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