research-article

Sink controlled reliable transport for disaster recovery

Authors:

Charilaos Stais,

George Xylomenos,

Giannis F. MariasAuthors Info & Claims

PETRA '14: Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments

Article No.: 61, Pages 1 - 4

https://doi.org/10.1145/2674396.2674465

Published: 27 May 2014 Publication History

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Abstract

We present a reliable transport layer protocol for sensor networks, targeting disaster recovery applications where human or robotic rescuers try to gather information from a possibly fragmented sensor network by moving through the disaster area. The mobility of the information sink means that the protocol must quickly adapt to a constantly changing view of the network, where connections and disconnections are the norm. Our protocol is purely sink driven, that is, the sink controls congestion by rate limiting the sensors, choosing how to assign the available bandwidth to different sensor types and deciding on the level of reliability to be achieved. In addition, our protocol operates at the application layer with minimal requirements from lower layers, allowing its integration with a disaster recovery application that will set its parameters depending on the disaster scenario. As a result, our protocol allows simple and inexpensive fixed sensors to be combined with expensive but reusable mobile equipment for disaster recovery purposes.

References

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[2]

C. Stais, A. Voulimeneas, and G. Xylomenos, "Towards an error control scheme for a publish/subscribe network," in Proc. of the IEEE ICC, 2013, pp. 3743--3747.

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J. Paek and R. Govindan, "RCRT: Rate-controlled reliable transport for wireless sensor networks," in Proc. of ACM SenSys, 2007, pp. 305--319.

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Cited By

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Liang MGao FShi M(2022)A failure detection method of remote disaster recovery and backup systemITM Web of Conferences10.1051/itmconf/2022470100247(01002)Online publication date: 23-Jun-2022
https://doi.org/10.1051/itmconf/20224701002
Stais CXylomenos G(2018)Error and congestion control for wireless sensor networksInternational Journal of Communication Systems10.1002/dac.388332:4Online publication date: 21-Dec-2018
https://doi.org/10.1002/dac.3883
Stais CXylomenos GZafeiratos E(2016)RT-SENMOS: Sink-Driven Congestion and Error Control for Sensor Networks2016 8th IFIP International Conference on New Technologies, Mobility and Security (NTMS)10.1109/NTMS.2016.7792473(1-4)Online publication date: Nov-2016
https://doi.org/10.1109/NTMS.2016.7792473
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Index Terms

Sink controlled reliable transport for disaster recovery
1. Networks
  1. Network architectures

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Published In

PETRA '14: Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments

May 2014

408 pages

ISBN:9781450327466

DOI:10.1145/2674396

Conference Chair:
Fillia Makedon
University of Texas at Arlington
,
Program Chairs:
Mark Clements
Georgia Institute of Technology
,
Catherine Pelachaud
TELECOM ParisTech, France
,
Vana Kalogeraki
Athens University of Economics and Bus
,
Ilias Maglogiannis
University of Piraeus, Greece

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: 27 May 2014

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Funding Sources

European Union (European Social Fund - ESF) and Greek national funds

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PETRA '14

Sponsor:

iPerform Center
CSE@UTA
HERACLEIA
U of Tex at Arlington
NCRS
Fulbrigh, Greece

PETRA '14: The 7th International Conference on PErvasive Technologies Related to Assistive Environments

May 27 - 30, 2014

Rhodes, Greece

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Cited By

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Liang MGao FShi M(2022)A failure detection method of remote disaster recovery and backup systemITM Web of Conferences10.1051/itmconf/2022470100247(01002)Online publication date: 23-Jun-2022
https://doi.org/10.1051/itmconf/20224701002
Stais CXylomenos G(2018)Error and congestion control for wireless sensor networksInternational Journal of Communication Systems10.1002/dac.388332:4Online publication date: 21-Dec-2018
https://doi.org/10.1002/dac.3883
Stais CXylomenos GZafeiratos E(2016)RT-SENMOS: Sink-Driven Congestion and Error Control for Sensor Networks2016 8th IFIP International Conference on New Technologies, Mobility and Security (NTMS)10.1109/NTMS.2016.7792473(1-4)Online publication date: Nov-2016
https://doi.org/10.1109/NTMS.2016.7792473
Stais CXylomenos G(2015)RT-SENMOSProceedings of the 2015 IEEE Symposium on Computers and Communication (ISCC)10.1109/ISCC.2015.7405501(105-110)Online publication date: 6-Jul-2015
https://dl.acm.org/doi/10.1109/ISCC.2015.7405501

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Recommendations

Reliable data transport and congestion control in wireless sensor networks

Event-to-sink reliable transport in wireless sensor networks

E²SRT: enhanced event-to-sink reliable transport for wireless sensor networks