Research on Fuzzy Clustering Algorithm in Wireless Sensor Network
Available Online April 2015.
- 10.2991/emim-15.2015.99How to use a DOI?
- Energy balance; Clustering algorithm; Fuzzy C- means; Particle swarm optimization
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.
- © 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/).
Cite this article
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 -