Mobility based network lifetime in wireless sensor networks: A review

L Nguyen, HT Nguyen - Computer networks, 2020 - Elsevier
Increasingly emerging technologies in micro-electromechanical systems and wireless
communications allows mobile wireless sensor networks (MWSNs) to be a more and more …

Deep reinforced learning tree for spatiotemporal monitoring with mobile robotic wireless sensor networks

J Chen, T Shu, T Li, CW de Silva - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This paper concerns the deployment problem of wireless sensor networks (WSNs) with
mobile robotic sensor nodes for spatiotemporal monitoring. The proposed approach, deep …

Adaptive sampling for spatial prediction in environmental monitoring using wireless sensor networks: A review

L Nguyen, N Ulapane, JV Miro - 2018 13th IEEE Conference on …, 2018 - ieeexplore.ieee.org
The paper presents a review of the spatial prediction problem in the environmental
monitoring applications by utilizing stationary and mobile robotic wireless sensor networks …

Mobile robotic sensors for environmental monitoring using Gaussian Markov random field

L Nguyen, S Kodagoda, R Ranasinghe… - Robotica, 2021 - cambridge.org
This paper addresses the issue of monitoring spatial environmental phenomena of interest
utilizing information collected by a network of mobile, wireless, and noisy sensors that can …

Towards odor-sensitive mobile robots

J Monroy, J Gonzalez-Jimenez - Rapid Automation: Concepts …, 2019 - igi-global.com
Out of all the components of a mobile robot, its sensorial system is undoubtedly among the
most critical ones when operating in real environments. Until now, these sensorial systems …

Robust sensor technologies combined with smart predictive analytics for hostile sewer infrastructures

K Thiyagarajan - 2018 - opus.lib.uts.edu.au
Underground sewer systems are an important national infrastructure requirement of any
country. In most cities, they are old and have been exposed to significant levels of microbial …

Adaptive placement for mobile sensors in spatial prediction under locational errors

LV Nguyen, S Kodagoda, R Ranasinghe… - IEEE Sensors …, 2016 - ieeexplore.ieee.org
This paper addresses the problem of driving robotic sensors for an energy-constrained
mobile wireless network in efficiently monitoring and predicting spatial phenomena, under …

[PDF][PDF] Gaussian markov random fields for localizing reinforcing bars in concrete infrastructure

K Thiyagarajan, S Kodagoda, LV Nguyen… - 2018 Proceedings of …, 2018 - academia.edu
Sensor technologies play a significant role in monitoring the health conditions of urban
sewer assets. Currently, the concrete sewer systems are undergoing corrosion due to …

Online estimation of 2d wind maps for olfactory robots

JG Monroy, M Jaimez… - 2017 ISOCS/IEEE …, 2017 - ieeexplore.ieee.org
This work introduces a novel solution to approximate in real time the 2D wind flow present in
a geometrically known environment. It is grounded on the probabilistic framework provided …

[HTML][HTML] Convolutional neural network regression for low-cost microalgal density estimation

L Nguyen, DK Nguyen, T Nguyen… - e-Prime-Advances in …, 2024 - Elsevier
Density of microalgae is critical information for production of algae in a closed cultivation
system since it can be used to optimally control their growth rate, biomass concentration and …