Research on Fuzzy Clustering Algorithm in Wireless Sensor Network

DOI

10.2991/emim-15.2015.99How to use a DOI?

Keywords

Energy balance; Clustering algorithm; Fuzzy C- means; Particle swarm optimization

Abstract

The existing clustering algorithms does not consider node belonging to each cluster of uncertain factors. Clustering decision is hard divided strictly. This paper presents a clustering algorithm based on fuzzy C mean clustering of particle swarm Optimization. The sensor nodes are divided to form different fuzzy cluster. The simulation results show that the cluster structure obtained by the proposed algorithm is stable and reasonable. The algorithm can make the network more balanced energy consumption; effectively prolong the network life cycle compared with the LEACH protocol.

Copyright

© 2015, 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  - Qin Luo
PY  - 2015/04
DA  - 2015/04
TI  - Research on Fuzzy Clustering Algorithm in Wireless Sensor Network
BT  - Proceedings of the 2015 International Conference on Education, Management, Information and Medicine
PB  - Atlantis Press
SP  - 503
EP  - 506
SN  - 2352-5428
UR  - https://doi.org/10.2991/emim-15.2015.99
DO  - 10.2991/emim-15.2015.99
ID  - Luo2015/04
ER  -