Title :
A New Energy Reduction Method Based on Fire Probability Threshold Switch for WSN
Author :
Yan Qiang ; Xiaomin Chang ; Juanjuan Zhao ; Xiaolong Zhang ; Xiaofei Yan
Author_Institution :
Coll. of Comput. Sci. & Technol., Taiyuan Univ. of Technol., Taiyuan, China
Abstract :
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.
Keywords :
probability; regression analysis; telecommunication network reliability; telecommunication power management; wireless sensor networks; WSN; energy limitation problems; fire probability threshold switch; logistic regression; sensor node; sink node; transmission data reliability; transmission energy reduction method; unnecessary energy usage reduction; weighted average method; wireless sensor networks; wood fire detection; Data communication; Data integration; Energy consumption; Fires; Monitoring; Probability; Wireless sensor networks; energy limitations; fire probability threshold; logistic regression; node transmission probability; weighted average method; wireless sensor networks;
Conference_Titel :
Mobile Ad-hoc and Sensor Networks (MSN), 2014 10th International Conference on
DOI :
10.1109/MSN.2014.11
