@article{(Open Science Index):https://publications.waset.org/pdf/10003301,
	  title     = {Structural Health Monitoring of Offshore Structures Using Wireless Sensor Networking under Operational and Environmental Variability},
	  author    = {Srinivasan Chandrasekaran and  Thailammai Chithambaram and  Shihas A. Khader},
	  country	= {},
	  institution	= {},
	  abstract     = {The early-stage damage detection in offshore
structures requires continuous structural health monitoring and for the
large area the position of sensors will also plays an important role in
the efficient damage detection. Determining the dynamic behavior of
offshore structures requires dense deployment of sensors. The wired
Structural Health Monitoring (SHM) systems are highly expensive
and always needs larger installation space to deploy. Wireless sensor
networks can enhance the SHM system by deployment of scalable
sensor network, which consumes lesser space. This paper presents the
results of wireless sensor network based Structural Health Monitoring
method applied to a scaled experimental model of offshore structure
that underwent wave loading. This method determines the
serviceability of the offshore structure which is subjected to various
environment loads. Wired and wireless sensors were installed in the
model and the response of the scaled BLSRP model under wave
loading was recorded. The wireless system discussed in this study is
the Raspberry pi board with Arm V6 processor which is programmed
to transmit the data acquired by the sensor to the server using Wi-Fi
adapter, the data is then hosted in the webpage. The data acquired
from the wireless and wired SHM systems were compared and the
design of the wireless system is verified.},
	    journal   = {International Journal of Environmental and Ecological Engineering},
	  volume    = {10},
	  number    = {1},
	  year      = {2016},
	  pages     = {33 - 39},
	  ee        = {https://publications.waset.org/pdf/10003301},
	  url   	= {https://publications.waset.org/vol/109},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 109, 2016},
	}