Research of Clustering Routing Algorithm in WSNs Based on Continuous Object

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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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  -