LIAA: A listen interval adaptive adjustment scheme for green communication in event-sparse IoT systems

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作者信息关键词期刊信息基础信息归属信息摘要

成果类型：

期刊论文

作者：

Wang, Han;Liu, Wei*;Xiong, Neal N.*;Zhang, Shaobo;Wang, Tian

通讯作者：

Liu, Wei;Xiong, Neal N.

作者机构：

[Wang, Han] Cent South Univ, Sch Comp Sci & Engn, Changsha, Hunan, Peoples R China.

[Liu, Wei] Hunan Univ Chinese Med, Sch Informat, Changsha 410208, Peoples R China.

[Xiong, Neal N.] Sul Ross State Univ, Dept Comp Sci & Math, Alpine, TX 79830 USA.

[Zhang, Shaobo] Hunan Univ Sci & Technol, Sch Comp Sci & Engn, Xiangtan, Hunan, Peoples R China.

[Wang, Tian] Beijing Normal Univ, Artificial Intelligence & Future Networks, Zhuhai, Guangdong, Peoples R China.

通讯机构：

[Liu, Wei] H

[Xiong, Neal N.] S

Hunan Univ Chinese Med, Sch Informat, Changsha 410208, Peoples R China.

Sul Ross State Univ, Dept Comp Sci & Math, Alpine, TX 79830 USA.

语种：

英文

关键词：

Sensor based system;Duty cycle;Delay;Energy saving;Lifetime;Listen interval adaptive adjustment

期刊：

Information Sciences

ISSN：

0020-0255

年：

2022

卷：

584

页码：

235-268

DOI：

10.1016/j.ins.2021.10.045

基金类别：

National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [62072475, 61772554]; Hunan Provincial Natural Science Foundation of ChinaNatural Science Foundation of Hunan Province [2020JJ4317]

机构署名：

本校为通讯机构

摘要：

Due to the development of microprocessor technology, there are more than 20 billion sensor-based devices connected to the Internet of Things (IoT) to monitor physical phe-nomena and events. To reduce the energy used by idle listening, a low-duty cycle is often used in an event-sparse wireless sensor network. However, low-duty cycles bring large end-to-end delays. In this paper, a listen interval adaptive adjustment (LIAA) scheme is proposed to adjust the listen interval (LI) of a node to reduce end-to-end delays while maintaining the long lifetime of a network. The key idea is to make full use...

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LIAA: A listen interval adaptive adjustment scheme for green communication in event-sparse IoT systems

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