Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)

Research of Routing Mechanism on Adaptive Wireless Sensor Networks

Authors
Jianming Liu, Lili Xu, Wenjie Teng, Lei Yang
Corresponding Author
Jianming Liu
Available Online April 2017.
DOI
10.2991/fmsmt-17.2017.98How to use a DOI?
Keywords
Wireless Sensor Networks; Routing protocol; Adaptive; Topology
Abstract

It is an important challenge to find out suitable security efficient routing mechanism for wireless sensor networks due to limitations of power. This paper has studied a mechanism based on an adaptive network node routing. The adaptive routing mechanism can make the route of nodes within the network more efficient and reasonable. At the same time, it can improve the average life of the network, and make the network data transmission more efficient and reliable.

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 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
978-94-6252-331-9
ISSN
2352-5401
DOI
10.2991/fmsmt-17.2017.98How 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  - Jianming Liu
AU  - Lili Xu
AU  - Wenjie Teng
AU  - Lei Yang
PY  - 2017/04
DA  - 2017/04
TI  - Research of Routing Mechanism on Adaptive Wireless Sensor Networks
BT  - Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
PB  - Atlantis Press
SP  - 466
EP  - 470
SN  - 2352-5401
UR  - https://doi.org/10.2991/fmsmt-17.2017.98
DO  - 10.2991/fmsmt-17.2017.98
ID  - Liu2017/04
ER  -