A Clustering Topology Algorithm Based on Q-learning in WSN
[1]YAN Xin-fang,WANG Xiao-xiao,FENG Yan,et al.A Clustering Topology Algorithm Based on Q-learning in WSN[J].Journal of Zhengzhou University (Engineering Science),2015,36(02):85-88.[doi:10.3969/j.issn.1671-6833.2015.02.019]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
36
Number of periods:
2015 02
Page number:
85-88
Column:
Public date:
2015-04-30
- Title:
- A Clustering Topology Algorithm Based on Q-learning in WSN
- CLC:
- TP393
- Abstract:
- To prolong the lifetime of wireless sensor network,a Clustering Topology Algorithm Based on Q-learning in WSN ( CTQL)is proposed on the basis of classical clustering algorithms such as ETBG. The Or-dered Weighted Average ( OWA) operator multi-attribute decision making method is used to determine theweight of the nodes, and Q learning algorithm is used to periodically train the cluster heads.So the Q value ofthe optimal path is selected of this algorithm and the topology control is realized. Through simulation studyshows that the use of Q-learning algorithm to resolve the problem that much energy consumption of ETBG algo-rithm fails to find the best path and CTQL effectively extend the network lifetime.
- References:
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