Article

Multipath virtual sink architecture for wireless sensor networks in harsh environments

Authors:

Winston K. G. Seah,

Hwee Pink TanAuthors Info & Claims

InterSense '06: Proceedings of the first international conference on Integrated internet ad hoc and sensor networks

Pages 19 - es

https://doi.org/10.1145/1142680.1142705

Published: 30 May 2006 Publication History

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Abstract

Wireless sensor networks are expected to be deployed in harsh environments characterized by extremely poor and fluctuating channel conditions. With the generally adopted single-sink architecture, be it static or mobile, such conditions arise due to contention near the sink as a result of multipath data delivery. The compactness of sensors with limited energy resources restricts the use of sophisticated FEC or ARQ mechanisms to improve the reliability of transmissions under such adverse conditions.We propose a novel virtual sink architecture for wireless sensor networks that mitigates the near-sink contention by defining a group of spatially diverse physical sinks. Reliability and energy efficiency is achieved through multipath data delivery to the sinks without the need for sophisticated FEC or ARQ mechanisms. This architecture is especially suitable for indoor environments, where channel conditions are harsh due to severe multipath fading, as well as emerging applications like underwater sensor networks where the predominant physical layer is acoustic communications, which is characterized by long propagation delays and severely fluctuating link conditions. We present our proposed architecture and demonstrate its efficacy using mathematical analysis.

References

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W. K. G. Seah, "Multipath Virtual Sink Architecture for Underwater Sensor Networks", Proceedings of the OCEANS 2006 Asia Pacific Conference, Singapore, 16--19 May, 2006.

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Cited By

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Mei HWang HShen XJiang ZBai WWang CZhang Q(2023)An Adaptive Routing Protocol for Underwater Acoustic Sensor Networks With Ocean CurrentIEEE Sensors Journal10.1109/JSEN.2023.331897423:22(28220-28243)Online publication date: 15-Nov-2023
https://doi.org/10.1109/JSEN.2023.3318974
Ababneh AJararweh YAl-Ayyoub M(2023)A novel technique for any-cast transmission scheduling in underwater acoustic sensor networksWireless Networks10.1007/s11276-023-03393-730:6(5931-5949)Online publication date: 3-Jun-2023
https://doi.org/10.1007/s11276-023-03393-7
Xiao XHuang H(2020)A Clustering Routing Algorithm Based on Improved Ant Colony Optimization Algorithms for Underwater Wireless Sensor NetworksAlgorithms10.3390/a1310025013:10(250)Online publication date: 1-Oct-2020
https://doi.org/10.3390/a13100250
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Published In

InterSense '06: Proceedings of the first international conference on Integrated internet ad hoc and sensor networks

May 2006

206 pages

ISBN:1595934278

DOI:10.1145/1142680

Conference Chair:
Imrich Chlamtac
University of Trento, CREATE-NET, Italy

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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 30 May 2006

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InterSense '06 Paper Acceptance Rate 27 of 27 submissions, 100%;

Overall Acceptance Rate 27 of 27 submissions, 100%

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Mei HWang HShen XJiang ZBai WWang CZhang Q(2023)An Adaptive Routing Protocol for Underwater Acoustic Sensor Networks With Ocean CurrentIEEE Sensors Journal10.1109/JSEN.2023.331897423:22(28220-28243)Online publication date: 15-Nov-2023
https://doi.org/10.1109/JSEN.2023.3318974
Ababneh AJararweh YAl-Ayyoub M(2023)A novel technique for any-cast transmission scheduling in underwater acoustic sensor networksWireless Networks10.1007/s11276-023-03393-730:6(5931-5949)Online publication date: 3-Jun-2023
https://doi.org/10.1007/s11276-023-03393-7
Xiao XHuang H(2020)A Clustering Routing Algorithm Based on Improved Ant Colony Optimization Algorithms for Underwater Wireless Sensor NetworksAlgorithms10.3390/a1310025013:10(250)Online publication date: 1-Oct-2020
https://doi.org/10.3390/a13100250
Astya RRakesh N(2020)Classification of Routing Protocols for Under Water Sensor Network2020 Sixth International Conference on Parallel, Distributed and Grid Computing (PDGC)10.1109/PDGC50313.2020.9315823(111-116)Online publication date: 6-Nov-2020
https://doi.org/10.1109/PDGC50313.2020.9315823
Syed MDubey M(2020)Compendious elucidation on faults management in wireless sensor networks (wsn)2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM)10.1109/ICCAKM46823.2020.9051469(403-410)Online publication date: Jan-2020
https://doi.org/10.1109/ICCAKM46823.2020.9051469
Hyder WPoncela JLuque MOtero P(2018)Self-Organized Fast Routing Protocol for Radial Underwater NetworksSensors10.3390/s1812417818:12(4178)Online publication date: 28-Nov-2018
https://doi.org/10.3390/s18124178
Al-Shihri FArafah M(2017)Reliable and Energy Efficient Routing Protocol for Under Water Sensor NetworksInternational Journal on Semantic Web and Information Systems10.4018/IJSWIS.201704010213:2(14-26)Online publication date: Apr-2017
https://doi.org/10.4018/IJSWIS.2017040102
Kafi MOthman JBadache N(2017)A Survey on Reliability Protocols in Wireless Sensor NetworksACM Computing Surveys10.1145/306400450:2(1-47)Online publication date: 25-May-2017
https://dl.acm.org/doi/10.1145/3064004
Pavan Kumar CSelvakumar R(2017)Erasure Codes for Reliable Communication in Internet of Things (IoT) Embedded with Wireless SensorsCognitive Computing for Big Data Systems Over IoT10.1007/978-3-319-70688-7_6(115-137)Online publication date: 31-Dec-2017
https://doi.org/10.1007/978-3-319-70688-7_6
Mahmood MSeah WWelch I(2015)Reliability in wireless sensor networksComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2014.12.01679:C(166-187)Online publication date: 14-Mar-2015
https://dl.acm.org/doi/10.1016/j.comnet.2014.12.016
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