A New Energy Reduction Method Based on Fire Probability Threshold Switch for WSN

被引:1
|
作者
Qiang, Yan [1 ]
Chang, Xiaomin [1 ]
Zhao, Juanjuan [1 ]
Zhang, Xiaolong [1 ,2 ]
Yan, Xiaofei [1 ]
机构
[1] Taiyuan Univ Technol, Coll Comp Sci & Technol, Taiyuan, Peoples R China
[2] Penn State Univ, Coll Informat Sci & Technol, University Pk, PA 16802 USA
关键词
wireless sensor networks; energy limitations; weighted average method; logistic regression; fire probability threshold; node transmission probability;
D O I
10.1109/MSN.2014.11
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
To solve the energy limitation problems of wireless sensor networks used in forest fire detection applications, a new algorithm based on a fire probability threshold switch is proposed. The method uses the weighted average method to obtain the weights of each sensor node, and then calculates the fire probability for each node based on a logistic regression to obtain the fire probability threshold; based on this, the numbers of sensor nodes sending data to the sink node are obtained. The proposed algorithm is applied to detection of a wood fire in a simulated situation. The results show that the proposed method reduced the transmission energy used by 34%. These results indicate that the method can reduce the unnecessary energy usage effectively while guaranteeing the reliability of the transmission data.
引用
收藏
页码:30 / 37
页数:8
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