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ROSS: receiver oriented sleep scheduling for underwater sensor networks

Authors:

Zhongwen GuoAuthors Info & Claims

WUWNet '13: Proceedings of the 8th International Conference on Underwater Networks & Systems

Article No.: 4, Pages 1 - 8

https://doi.org/10.1145/2532378.2532396

Published: 11 November 2013 Publication History

Abstract

As the sleeping quality of a person would decline with repeated waking at night, similarly, for a sensor node in wireless sensor networks (WSN), waking up from dormancy frequently could cause energy waste by repeatedly switching on/off circuits and shorten the hardware lifetime. Existing sleeping schemes for WSN mainly focus on the maximization of sleep time as well as coordinating between sleep and communication, but just pay little attention to reduce the sleep frequency of nodes, especially for underwater sensor networks (UWSN). For the purpose of improving energy efficiency for nodes in UWSN, this paper proposes ROSS, a Receiver Oriented Sleep Scheduling strategy combining TDMA with duty-cycling. ROSS is designed on tree topology achieving no collisions and no channel reservation. Through allocating nodes' working time from root to leaves, ROSS ensures that each node can turn to sleep mode immediately after forwarding all the received data from its children. With asynchronous and periodic sleep scheduling determined by receivers, ROSS minimizes the sleeping-waking frequency and reduces end-to-end delay. Simulation results have confirmed its performance and efficiency.

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Cited By

Sisodia AVishnoi SUpadhyay SGoswami JKhenwar MYadav A(2024)Enhancing energy efficiency: a protocol assessment in multi-hop mesh-based IOUT networksMultimedia Tools and Applications10.1007/s11042-024-19345-yOnline publication date: 25-May-2024
https://doi.org/10.1007/s11042-024-19345-y
Ruby DJeyachidra JNarayanan A(2021)Segment Based Clustering with Data Aggregation for Underwater Wireless Sensor Networks2021 International Conference on Intelligent Technologies (CONIT)10.1109/CONIT51480.2021.9498532(1-6)Online publication date: 25-Jun-2021
https://doi.org/10.1109/CONIT51480.2021.9498532
Waqas MWahid AKhattak M(2021)Use Case for Underwater TransportationIntelligent Cyber-Physical Systems for Autonomous Transportation10.1007/978-3-030-92054-8_10(167-177)Online publication date: 15-Dec-2021
https://doi.org/10.1007/978-3-030-92054-8_10
Show More Cited By

Index Terms

ROSS: receiver oriented sleep scheduling for underwater sensor networks
1. Computer systems organization
  1. Architectures
    1. Distributed architectures
2. Networks
  1. Network architectures

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Published In

cover image ACM Conferences

WUWNet '13: Proceedings of the 8th International Conference on Underwater Networks & Systems

November 2013

374 pages

ISBN:9781450325844

DOI:10.1145/2532378

General Chairs:
T. C. Yang,
David Du,
Jianguo Huang,
Program Chairs:
Payman Arabshahi,
Ryan Kastner,
Wen Xu

Copyright © 2013 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 11 November 2013

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Funding Sources

National Natural Science Foundation of China

Conference

WUWNET '13

Sponsor:

SIGMOBILE

WUWNET '13: Conference on Underwater Networks and Systems

November 11 - 13, 2013

Kaohsiung, Taiwan

Acceptance Rates

WUWNet '13 Paper Acceptance Rate 11 of 55 submissions, 20%;

Overall Acceptance Rate 84 of 180 submissions, 47%

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Cited By

Sisodia AVishnoi SUpadhyay SGoswami JKhenwar MYadav A(2024)Enhancing energy efficiency: a protocol assessment in multi-hop mesh-based IOUT networksMultimedia Tools and Applications10.1007/s11042-024-19345-yOnline publication date: 25-May-2024
https://doi.org/10.1007/s11042-024-19345-y
Ruby DJeyachidra JNarayanan A(2021)Segment Based Clustering with Data Aggregation for Underwater Wireless Sensor Networks2021 International Conference on Intelligent Technologies (CONIT)10.1109/CONIT51480.2021.9498532(1-6)Online publication date: 25-Jun-2021
https://doi.org/10.1109/CONIT51480.2021.9498532
Waqas MWahid AKhattak M(2021)Use Case for Underwater TransportationIntelligent Cyber-Physical Systems for Autonomous Transportation10.1007/978-3-030-92054-8_10(167-177)Online publication date: 15-Dec-2021
https://doi.org/10.1007/978-3-030-92054-8_10
Coutinho RBoukerche AVieira LLoureiro A(2019)A Joint Anypath Routing and Duty-Cycling Model for Sustainable Underwater Sensor NetworksIEEE Transactions on Sustainable Computing10.1109/TSUSC.2018.28779754:4(314-325)Online publication date: 1-Oct-2019
https://doi.org/10.1109/TSUSC.2018.2877975
Goyal NDave MVerma A(2019)Data aggregation in underwater wireless sensor networkJournal of King Saud University - Computer and Information Sciences10.1016/j.jksuci.2017.04.00731:3(275-286)Online publication date: 1-Jul-2019
https://dl.acm.org/doi/10.1016/j.jksuci.2017.04.007
Goyal NDave MVerma A(2019)Protocol Stack of Underwater Wireless Sensor NetworkWireless Personal Communications: An International Journal10.1007/s11277-018-6064-z104:3(995-1022)Online publication date: 1-Feb-2019
https://dl.acm.org/doi/10.1007/s11277-018-6064-z
Coutinho RBoukerche AVieira LLoureiro A(2018)Underwater Wireless Sensor NetworksACM Computing Surveys10.1145/315483451:1(1-36)Online publication date: 4-Jan-2018
https://dl.acm.org/doi/10.1145/3154834
Yaqub MAhmed SBouk SKim D(2018)Towards energy efficient duty cycling in underwater wireless sensor networksMultimedia Tools and Applications10.1007/s11042-018-6924-278:21(30057-30079)Online publication date: 28-Nov-2018
https://doi.org/10.1007/s11042-018-6924-2
Luo HWu KRuby RHong FGuo ZNi L(2017)Simulation and Experimentation Platforms for Underwater Acoustic Sensor NetworksACM Computing Surveys10.1145/304099050:2(1-44)Online publication date: 10-May-2017
https://dl.acm.org/doi/10.1145/3040990
Diamant RCasari PCampagnaro FZorzi M(2017)Leveraging the Near–Far Effect for Improved Spatial-Reuse Scheduling in Underwater Acoustic NetworksIEEE Transactions on Wireless Communications10.1109/TWC.2016.264668216:3(1480-1493)Online publication date: 1-Mar-2017
https://dl.acm.org/doi/10.1109/TWC.2016.2646682
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