TY - GEN
T1 - Multisensor data fusion for wildfire warning
AU - Zhao, Juanjuan
AU - Liu, Yongxing
AU - Cheng, Yongqiang
AU - Qiang, Yan
AU - Zhang, Xiaolong
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/2/27
Y1 - 2014/2/27
N2 - Wildfires are highly destructive disasters that spread quickly. The use of advanced technology to achieve early warnings of wildfires is essential for the protection of wilderness resources. Nowadays, the method of using wireless sensor networks for wildfire warning has been extensively studied by many researchers. In this paper, we propose and have implemented a multi-sensor data fusion algorithm for wildfire monitoring and warning based on adaptive weighted fusion algorithm (AWFA) and Dempster - Shafer theory (DST) of evidence. At the same time, we also have put forward some auxiliary algorithms for fire warning, including heterogeneous sensor data homogenization methods, a judgment algorithm for sensor numerical errors, and an evidence conflict solution of Dempster - Shafer theory of evidence. Experimental results show that this algorithm can ensure the timeliness and accuracy of the wildfire warning, effectively reduce the amount of data transmission of sensor nodes and the whole network, and reduce the energy consumption, thus prolonging the network lifetime.
AB - Wildfires are highly destructive disasters that spread quickly. The use of advanced technology to achieve early warnings of wildfires is essential for the protection of wilderness resources. Nowadays, the method of using wireless sensor networks for wildfire warning has been extensively studied by many researchers. In this paper, we propose and have implemented a multi-sensor data fusion algorithm for wildfire monitoring and warning based on adaptive weighted fusion algorithm (AWFA) and Dempster - Shafer theory (DST) of evidence. At the same time, we also have put forward some auxiliary algorithms for fire warning, including heterogeneous sensor data homogenization methods, a judgment algorithm for sensor numerical errors, and an evidence conflict solution of Dempster - Shafer theory of evidence. Experimental results show that this algorithm can ensure the timeliness and accuracy of the wildfire warning, effectively reduce the amount of data transmission of sensor nodes and the whole network, and reduce the energy consumption, thus prolonging the network lifetime.
UR - http://www.scopus.com/inward/record.url?scp=84988281748&partnerID=8YFLogxK
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U2 - 10.1109/MSN.2014.13
DO - 10.1109/MSN.2014.13
M3 - Conference contribution
AN - SCOPUS:84988281748
T3 - Proceedings - 2014 10th International Conference on Mobile Ad-Hoc and Sensor Networks, MSN 2014
SP - 46
EP - 53
BT - Proceedings - 2014 10th International Conference on Mobile Ad-Hoc and Sensor Networks, MSN 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th IEEE International Conference on Mobile Ad-Hoc and Sensor Networks, MSN 2014
Y2 - 19 December 2014 through 21 December 2014
ER -