Structural identification of a tied arch bridge using parallel genetic algorithms and ambient vibration monitoring with a wireless sensor network

2018 ◽  
Vol 8 (2) ◽  
pp. 315-330 ◽  
Author(s):  
Matthew Whelan ◽  
Neal Salas Zamudio ◽  
Timothy Kernicky
Keyword(s):  
Genetic Algorithms ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Structural Identification ◽  
Vibration Monitoring ◽  
Ambient Vibration ◽  
Wireless Sensor ◽  
Arch Bridge ◽  
Parallel Genetic Algorithms ◽  
Tied Arch Bridge

scholarly journals Wireless Sensor Network Lifespan Optimization with Simple, Rotated, Order and Modified Partially Matched Crossover Genetic Algorithms

2016 ◽  
Vol 49 (25) ◽  
pp. 182-187 ◽  
Author(s):  
Yousif E.E. Ahmed ◽  
Kondo H. Adjallah ◽  
Romuald Stock ◽  
Sharef F. Babikier
Keyword(s):  
Genetic Algorithms ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Wireless Sensor

scholarly journals Detection of Attacks on Wireless Sensor Network Using Genetic Algorithms Based on Fuzzy

2019 ◽  
Vol 8 (1) ◽  
pp. 57 ◽  
Author(s):  
Shaymaa Al Hayali ◽  
Osman Ucan ◽  
Javad Rahebi ◽  
Oguz Bayat
Keyword(s):  
Genetic Algorithms ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Energy Development ◽  
Wireless Sensor ◽  
Optimal Routing ◽  
Fuzzy Function ◽  
Renewable Energy Development ◽  
Multi Agent ◽  
Simulation Results

In this paper an individual - suitable function calculating design for WSNs is conferred. A multi-agent- located construction for WSNs is planned and an analytical type of the active combination is built for the function appropriation difficulty. The purpose of this study is to identify the threats identified by clustering genetic algorithms in clustering networks, which will prolong network lifetime. In addition, optimal routing is done using the fuzzy function. Simulation results show that the simulated genetic algorithm improves diagnostic speed and improves energy consumption.©2019. CBIORE-IJRED. All rights reservedArticle History: Received May 16th 2018; Received in revised form Octiber 6th 2018; Accepted Jnauary 6th 2019; Available onlineHow to Cite This Article: Al-Hayali, S., Ucan, O., Rahebi, J. and Bayat, O. (2019) Detection of Attacks on Wireless Sensor Network Using Genetic Algorithms Based on Fuzzy. International Journal of Renewable Energy Development, 8(1), 57-64.https://doi.org/10.14710/ijred.8.1.57-64

A Wireless Sensor Network Based Vibration Monitoring System: Architecture, Principle and Validation

2010 ◽  
Vol 34-35 ◽  
pp. 661-665
Author(s):  
Zhi Peng Feng ◽  
Cheng Zhong Zhang ◽  
Bin Xie ◽  
Jian Wei Cao ◽  
Xue Jun Li
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Monitoring System ◽  
Measurement Techniques ◽  
Vibration Monitoring ◽  
Wireless Sensor ◽  
Safety Requirements ◽  
Improve Measurement ◽  
Gearbox Vibration ◽  
Space Limitation

Wireless sensor network overcomes the limitations of conventional tethered measurement techniques. It can be used in many situations where conventional tethered sensors cannot be employed due to the safety requirements, space limitation, and wiring cost. Thus it can further expand testing area, and improve measurement performance. A vibration monitoring system is developed based on wireless sensor network. Its architecture and principle are introduced, and its performance is validated by signal generator simulation and a gearbox vibration test.

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