Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)

Research on Wireless Sensor Networks Tissue Repair Method for Live Detecting of Substation Equipment

Authors
Hai Yu, Lin Peng, He Wang, Hui Deng, Changfu Xu
Corresponding Author
Hai Yu
Available Online October 2016.
DOI
10.2991/ceie-16.2017.80How to use a DOI?
Keywords
Electric Substation Equipment Inspection; Wireless Sensor Network; Network Tissue Repair
Abstract

For wireless sensor network in substation equipment charged detection, repair, such as communication failure causes changes in node network error of high power consumption during faults, putting forward the working cycle of the adaptive tissue repair method and low power network by dynamically adjusting control packet monitoring duty ratio can effectively balance the power and speed of the network tissue repair.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)
Series
Advances in Engineering Research
Publication Date
October 2016
ISBN
978-94-6252-312-8
ISSN
2352-5401
DOI
10.2991/ceie-16.2017.80How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Hai Yu
AU  - Lin Peng
AU  - He Wang
AU  - Hui Deng
AU  - Changfu Xu
PY  - 2016/10
DA  - 2016/10
TI  - Research on Wireless Sensor Networks Tissue Repair Method for Live Detecting of Substation Equipment
BT  - Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)
PB  - Atlantis Press
SP  - 627
EP  - 633
SN  - 2352-5401
UR  - https://doi.org/10.2991/ceie-16.2017.80
DO  - 10.2991/ceie-16.2017.80
ID  - Yu2016/10
ER  -