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

  • Harbin Institute of Technology Weihai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationCommunications, Signal Processing, and Systems - Proceedings of the 2018 CSPS Volume II
Subtitle of host publicationSignal Processing
EditorsQilian Liang, Xin Liu, Zhenyu Na, Wei Wang, Jiasong Mu, Baoju Zhang
PublisherSpringer Verlag
Pages842-846
Number of pages5
ISBN (Print)9789811365034
DOIs
StatePublished - 2020
Externally publishedYes
EventInternational Conference on Communications, Signal Processing, and Systems, CSPS 2018 - Dalian, China
Duration: 14 Jul 201816 Jul 2018

Publication series

NameLecture Notes in Electrical Engineering
Volume516
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceInternational Conference on Communications, Signal Processing, and Systems, CSPS 2018
Country/TerritoryChina
CityDalian
Period14/07/1816/07/18

Keywords

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

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