3d localization for internet of underground things in oil and gas reservoirs

N Saeed, MS Alouini, TY Al-Naffouri - IEEE Access, 2019 - ieeexplore.ieee.org
Magnetic Induction (MI) is an efficient wireless communication method to deploy operational
internet of underground things (IoUT) for oil and gas reservoirs. The IoUT consists of …

On achievable accuracy of localization in magnetic induction-based internet of underground things for oil and gas reservoirs

N Saeed, MS Alouini, TY Al-Naffouri - arXiv preprint arXiv:1901.09556, 2019 - arxiv.org
Magnetic Induction (MI) is an efficient wireless communication method to deploy operational
internet of underground things (IOUT) for oil and gas reservoirs. The IOUT consists of …

Magnetic induction-based localization in randomly deployed wireless underground sensor networks

SC Lin, AA Alshehri, P Wang… - IEEE Internet of Things …, 2017 - ieeexplore.ieee.org
Wireless underground sensor networks enable many applications, such as mine and tunnel
disaster prevention, oil upstream monitoring, earthquake prediction and landslide detection …

Localization of a silent target node in magnetic induction based wireless underground sensor networks

S Kisseleff, X Chen, IF Akyildiz… - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
Wireless underground sensor networks (WUSNs) based on magnetic induction (MI) have
been recently proposed as a promising candidate for underground networking. The benefit …

Underground incrementally deployed magneto-inductive 3-D positioning network

TE Abrudan, Z Xiao, A Markham… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Underground mines are characterized by a network of intersecting tunnels and sharp turns,
an environment which is particularly challenging for radiofrequency based positioning …

Inertial optimization MCL deep mine localization algorithm based on grey prediction and artificial bee colony

Y Xiuwu, L Ying, L Yong, Y Hao - Wireless Networks, 2021 - Springer
To solve the problem that the existing Monte Carlo Localization (MCL) algorithm has long
localization time and large localization error in the real-time localization of downhole …

An anchor-based localization in underwater wireless sensor networks for industrial oil pipeline monitoring

N Goyal, M Nain, A Singh, K Abualsaud… - … Canadian Journal of …, 2022 - ieeexplore.ieee.org
Industries need solutions that can automatically monitor oil leakage from deployed
underwater pipelines and to rapidly report any damage. The location prediction of mineral …

On localization for magnetic induction-based wireless sensor networks in pipeline environments

X Tan, Z Sun, P Wang - 2015 IEEE International Conference on …, 2015 - ieeexplore.ieee.org
The wireless sensor networks can enable the real-time monitoring in the pipeline
environments, which can facilitate important applications such as structure identification and …

Machine learning-based prediction of node localization accuracy in IIoT-based MI-UWSNs and design of a TD coil for omnidirectional communication

Q Gang, A Muhammad, ZU Khan, MS Khan, F Ahmed… - Sustainability, 2022 - mdpi.com
This study aims to realize Sustainable Development Goals (SDGs), ie, SDG 9: Industry
Innovation and Infrastructure and SDG 14: Life below Water, through the improvement of …

A novel mobile target localization approach for complicate underground environment in mixed LOS/NLOS scenarios

B Cao, S Wang, S Ge, X Ma, W Liu - Ieee Access, 2020 - ieeexplore.ieee.org
Accurate positioning of the shearer remains a challenge for automation of the longwall coal
mining process. In this paper, the popular Ultra-wideband (UWB) positioning system that has …