Clustering Algorithm based on Fuzzy Weight for Wireless Sensor Networks

DOI

10.2991/meic-15.2015.264How to use a DOI?

Keywords

Wireless Sensor Networks; Routing; Cluster; Fuzzy Weight; Attribute

Abstract

Because of the non-uniform cluster-head election in the classical clustering algorithm, some nodes maybe exhaust energy prematurely so that it is not fit for large-scale wireless sensor networks(WSNs). In this paper, a distributed clustering routing algorithm based on fuzzy weight attribute degree(FWAD) is proposed. The direct methodology of fuzzy engineering theory is adopted to assign relevant weight to each parameter by taking all parameters into account synthetically, which makes each node calculates its own attribute value. The attribute value will be mapped to the time coordinate axis so that the node can broadcast cluster head information by means of timer triggering, meanwhile, the density method is adopted to avoid collisions and to ensure the symmetrical distributing of the cluster-head. Multi-hop is adopted to forward aggregate data to the sink. Simulations denote that FWAD algorithm has longer lifetime and better expansibility than LEACH-like algorithms.

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  - Teng Gao
AU  - Jinyan Song
AU  - Dequan Wang
AU  - Jinhua Ding
AU  - Zhenyuan Si
PY  - 2015/04
DA  - 2015/04
TI  - Clustering Algorithm based on Fuzzy Weight for Wireless Sensor Networks
BT  - Proceedings of the 2015 International Conference on Mechatronics, Electronic, Industrial and Control Engineering
PB  - Atlantis Press
SP  - 1162
EP  - 1166
SN  - 2352-5401
UR  - https://doi.org/10.2991/meic-15.2015.264
DO  - 10.2991/meic-15.2015.264
ID  - Gao2015/04
ER  -