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Smart Structures and Systems
  Volume 16, Number 4, October 2015, pages 607-621
DOI: https://doi.org/10.12989/sss.2015.16.4.607
 


Building structural health monitoring using dense and sparse topology wireless sensor network
Mohammad E. Haque, Mohammad F.M. Zain, Mohammad A. Hannan and Mohammad H. Rahman

 
Abstract
    Wireless sensor technology has been opened up numerous opportunities to advanced health and maintenance monitoring of civil infrastructure. Compare to the traditional tactics, it offers a better way of providing relevant information regarding the condition of building structure health at a lower price. Numerous domestic buildings, especially longer-span buildings have a low frequency response and challenging to measure using deployed numbers of sensors. The way the sensor nodes are connected plays an important role in providing the signals with required strengths. Out of many topologies, the dense and sparse topologies wireless sensor network were extensively used in sensor network applications for collecting health information. However, it is still unclear which topology is better for obtaining health information in terms of greatest components, node\'s size and degree. Theoretical and computational issues arising in the selection of the optimum topology sensor network for estimating coverage area with sensor placement in building structural monitoring are addressed. This work is an attempt to fill this gap in high-rise building structural health monitoring application. The result shows that, the sparse topology sensor network provides better performance compared with the dense topology network and would be a good choice for monitoring high-rise building structural health damage.
 
Key Words
    wireless sensor network; building structural health monitoring, dense network; sparse network; Optimum topology sensor network
 
Address
Mohammad E. Haque: Department of Electrical , Electronics and System Engineering, Universiti Kebangsaan Malaysia (UKM), Selangor, 36000, Bangi, Malaysia
Mohammad F.M. Zain and Mohammad A.Hannan: Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia (UKM), Selangor, 36000, Bangi, Malaysia
Mohammad H. Rahman: School of Engineering and Information Technology, UNSW at the Australian Defense Force Academy, Canberra, Australia
 

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