Compressed Sensing-Based Energy-Efficient Routing Algorithm in Underwater Sensor Networks

被引：0

作者：

Zhao, Qiuming ^{[1
]}

Yang, Hongjuan ^{[1
]}

Li, Bo ^{[1
]}

Zhang, Chi ^{[1
]}

机构：

[1] Harbin Inst Technol Weihai, Weihai, Peoples R China

来源：

COMMUNICATIONS, SIGNAL PROCESSING, AND SYSTEMS, CSPS 2018, VOL II: SIGNAL PROCESSING | 2020年 / 516卷

基金：

中国国家自然科学基金;

关键词：

Compressed sensing; Underwater wireless sensor network; Three-dimensional routing; Energy consumption;

D O I：

10.1007/978-981-13-6504-1_101

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Due to the limited energy of nodes and the harsh working environment in underwater sensor networks, designing energy-efficient routing algorithms to achieve data acquisition is particularly important. Using the correlation of original signal in underwater sensor networks, in this paper, an uneven-layered, multi-hop routing based on distributed compressed sensing (DCS-ULM) is proposed to achieve data collection. The simulation results show that DCS-ULM can effectively prolong the lifetime of networks while ensuring the reconstruction accuracy of original data.

引用

页码：842 / 846

页数：5

共 7 条

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