DocumentCode :
2378110
Title :
Wireless Sensor Network and Big Data in Cooperative Fire Security system using HARMS
Author :
Khaday, Bakytgul ; Matson, Eric T. ; Springer, John ; Young Ki Kwon ; Hansu Kim ; Sunbin Kim ; Kenzhebalin, Daulet ; Cho Sukyeong ; Jinwoong Yoon ; Hong Seung Woo
Author_Institution :
Comput. & Inf. Technol., Purdue Univ., West Lafayette, IN, USA
fYear :
2015
fDate :
17-19 Feb. 2015
Firstpage :
405
Lastpage :
410
Abstract :
Growing population and shortage of land in urban areas led to development of tall buildings. Tall buildings have advantages and at the same time disadvantages. One of the disadvantages is that they are not fully safe in fire situations, because fire trucks cannot reach them. Fire danger can be prevented and eliminated if it is detected early. Implementing WSN (Wireless Sensor Network) and Big Data and collecting-sending data to other members of Cooperative Fire Security System using Human Agent Robot Machine Sensor (CFS2H) messaging protocol establishes faster communication and collaboration among all the members of the whole system. The stationary WSN generates and analyzes the data and wirelessly communicates with other members of the system. Big Data is the central data manipulating center which communicates with all the system members and controls the whole system work. This paper presents detailed implementation and application of WSN and Big Data in cooperative firefighting system.
Keywords :
Big Data; emergency services; flameproofing; humanoid robots; mobile computing; multi-agent systems; wireless sensor networks; Big Data; HARMS; cooperative fire security system; cooperative firefighting system; fire danger; human agent robot machine sensor; stationary WSN; tall buildings; wireless sensor network; Big data; Fires; Multi-agent systems; Robot kinematics; Robot sensing systems; Wireless sensor networks; Big Data; HARMS; WSN; multi-agent system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation, Robotics and Applications (ICARA), 2015 6th International Conference on
Conference_Location :
Queenstown
Type :
conf
DOI :
10.1109/ICARA.2015.7081182
Filename :
7081182
Link To Document :
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