Average Peak Age of Information in Underwater Information Collection With Sleep-Scheduling

被引：25

作者：

Fang, Zhengru ^{[1
]}

Wang, Jingjing ^{[2
]}

Jiang, Chunxiao ^{[3
]}

Wang, Xijun ^{[4
]}

Ren, Yong ^{[1
,5
]}

机构：

[1] Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China

[2] Beihang Univ, Sch Cyber Sci & Technol, Beijing 100191, Peoples R China

[3] Tsinghua Univ, Tsinghua Space Ctr, Beijing 100084, Peoples R China

[4] Sun Yat Sen Univ, Sch Elect & Informat Technol, Guangzhou 510006, Peoples R China

[5] Peng Cheng Lab, Network & Commun Res Ctr, Shenzhen 518055, Peoples R China

来源：

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY | 2022年 / 71卷 / 09期

基金：

国家重点研发计划; 中国国家自然科学基金;

关键词：

Costs; Sensors; Wireless sensor networks; Underwater acoustics; Scheduling; Queueing analysis; Numerical models; Active queue management; age of information; multiple vacation queueing model; underwater wireless sensor networks; INTERNET;

D O I：

10.1109/TVT.2022.3176819

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We investigate the peak age of information (PAoI) in underwater wireless sensor networks (UWSNs), where Internet of underwater things (IoUT) nodes transmit the latest packets to the sink node, which is in charge of adjusting the sleep-scheduling to match network demands. In order to reduce PAoI, we propose active queue management (AQM) policy of the IoUT node, beneficially compresses the packets having large waiting time. Moreover, we deduce the closed-form expressions of the average PAoI as well as the energy cost relying on probability generating function and matrix-geometric solutions. Numerical results verify that the IoUT node relying on the AQM policy has a lower PAoI and energy cost in comparison to those using non-AQM policy.

引用

页码：10132 / 10136

页数：5

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