Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications

Research of Clustering Routing Algorithm in WSNs Based on Continuous Object

Authors
Die Hu, GuangCong Liu, Jifeng Chen
Corresponding Author
Die Hu
Available Online May 2016.
DOI
10.2991/wartia-16.2016.183How to use a DOI?
Keywords
Wireless Sensor Networks, Bisecting K-means Algorithm, Continuous Object
Abstract

In monitoring application of continuous object that based on wireless sensor network, due to related parameters of continuous object in time and space are continuous, the data information that node acquired has strong correlation and continuity. On this basis,the idea that using bisecting K-means clustering algorithm to improve the traditional clustering routing algorithm is put forward. Simulation results show that in the monitoring application of continuous object,clustering algorithm that based on the bisecting K-means algorithm clustering algorithm is better than traditional clustering algorithm.It can make full use of node energy and balance the network energy better.

Copyright
© 2016, 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 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
Series
Advances in Engineering Research
Publication Date
May 2016
ISBN
978-94-6252-195-7
ISSN
2352-5401
DOI
10.2991/wartia-16.2016.183How to use a DOI?
Copyright
© 2016, 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  - Die Hu
AU  - GuangCong Liu
AU  - Jifeng Chen
PY  - 2016/05
DA  - 2016/05
TI  - Research of Clustering Routing Algorithm in WSNs Based on Continuous Object
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 866
EP  - 869
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.183
DO  - 10.2991/wartia-16.2016.183
ID  - Hu2016/05
ER  -