TY  - JOUR
KW  - Location
KW  -  mobility
KW  -  oil and gas wells
KW  -  optimization
KW  -  underwater communication
JF  - IEEE Canadian Journal of Electrical and Computer Engineering
ID  - uninipr5756
SN  - 2694-1783
VL  - 45
UR  - http://doi.org/10.1109/ICJECE.2022.3206275
SP  - 466
A1  - Goyal, Nitin
A1  - Nain, Mamta
A1  - Singh, Aman
A1  - Abualsaud, Khalid
A1  - Alsubhi, Khalid
A1  - Ortega-Mansilla, Arturo
A1  - Zorba, Nizar
IS  - 4
AV  - public
TI  - An Anchor-Based Localization in Underwater Wireless Sensor Networks for Industrial Oil Pipeline Monitoring
N2  - Industries need solutions that can automatically monitor oil leakage from deployed underwater pipelines and to rapidly report any damage. The location prediction of mineral reservoirs like oil, gas, or metals in deep water is a challenge during the extraction of these resources. Moreover, the problem of ores and mineral deposits on the seafloor comes into play. The abovementioned challenges necessitate for the deployment of underwater wireless sensor networks (UWSNs). Anchor-based localization techniques are segregated into range-free and range-based processes. Range-based schemes depend on various techniques like angle of arrival (AoA), time of arrival (ToA), time difference of arrival (TDoA), and received signal strength indicator (RSSI). In this article, the localization of these leakages is performed by using range-based metrics for calculating the distance among anchor nodes (ANs) and target nodes (TNs). This estimated distance is further optimized to minimize the estimation error. A multilateralism procedure is used to estimate the optimal position of each TN. The results exhibit that the proposed algorithm shows a high performance when compared to previous works, in terms of minimum energy consumption, lower packet loss, rapid location estimation, and lowest localization error. The benefit of using the proposed methodology greatly impacts on identifying the leakage area in mobility-assisted UWSN, where rapid reporting helps to lower the loss of resources.
EP  - 474
Y1  - 2022/12//
ER  -