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
收藏
页码：842 / 846
页数：5
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