Minimising number of sensors in wireless sensor networks for structure health monitoring systems

Sensor placement optimisation is an important problem in the field of structural health monitoring (SHM). Many researchers solve this problem by focusing only on the network requirements, without considering the civil engineering requirements. However, there are researchers that optimise the sensor...

Full description

Saved in:
Bibliographic Details
Published in:IET wireless sensor systems Vol. 9; no. 2; pp. 94 - 101
Main Authors: El-Qawasma, Farah AbdelMutaleb, Elfouly, Tarek Mohamed, Ahmed, Mohamed Hossam
Format: Journal Article
Language:English
Published: The Institution of Engineering and Technology 01.04.2019
Subjects:
binary search algorithm
BS algorithm
civil engineering requirements
civil network requirements
condition monitoring
energy consumption
exhaustive search method
genetic algorithm
genetic algorithms
iterative methods
mathematical analysis
mathematical model
minimisation
numerical iterative algorithm
Research Article
search problems
sensor placement optimisation
SHM
structural engineering
structural health monitoring
structure health monitoring systems
time complexity
wireless sensor networks
iterative methods
structural engineering
wireless sensor networks
numerical iterative algorithm
exhaustive search method
time complexity
structural health monitoring
genetic algorithms
mathematical analysis
structure health monitoring systems
civil network requirements
genetic algorithm
BS algorithm
binary search algorithm
sensor placement optimisation
mathematical model
SHM
condition monitoring
GA
minimisation
civil engineering requirements
energy consumption
search problems
ISSN:2043-6386, 2043-6394, 2043-6394
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Sensor placement optimisation is an important problem in the field of structural health monitoring (SHM). Many researchers solve this problem by focusing only on the network requirements, without considering the civil engineering requirements. However, there are researchers that optimise the sensor placement considering network and civil requirements. Unfortunately, those researchers did not address minimising the number of sensors. As a result, in this research we study the problem of minimising the number of sensors for SHM in wireless sensors networks satisfying both civil and network requirements. The authors’ contribution in this work is showing the mathematical model of the mentioned problem. Then, solve the problem using different methods: exhaustive search, genetic algorithm (GA), and a numerical iterative algorithm that applies binary search (BS). The problem is solved using different number of sensors as well as different placements in many conducted experiments. The obtained results showed that minimising the number of sensors becomes more significant with big structures. Furthermore, the BS algorithm is the best to use to solve the problem for small buildings. However, for larger buildings, there is a trade-off between the performance, and time complexity, where the BS gives optimal solution, but GA gives better time execution.
ISSN:2043-6386
2043-6394
2043-6394
DOI:10.1049/iet-wss.2018.5031