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