Open AccessPerformance evaluation of LoRa based sensor node and gateway architecture for oil pipeline management
Author(s) -
Chavala Lakshmi Narayana,
Anita Gehlot,
Anita Gehlot
Publication year - 2022
Publication title -
international journal of power electronics and drive systems/international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
eISSN - 2722-2578
pISSN - 2722-256X
DOI - 10.11591/ijece.v12i1.pp974-982
Subject(s) - lpwan , pipeline transport , pipeline (software) , computer science , default gateway , midstream , computer network , wireless sensor network , mqtt , node (physics) , wide area network , internet of things , flooding (psychology) , real time computing , petroleum industry , embedded system , environmental science , engineering , structural engineering , environmental engineering , programming language , psychology , psychotherapist
These days, the oil industrial industry is leaning toward employing smart field improvements to streamline various activities in the midstream area. Oil transportation over large distances via pipelines has a cheap cost and high efficiency in this sector. If pipelines are not properly maintained, they may fail, potentially causing catastrophic, long-term, and irreversible consequences on both natural and human conditions. Low power wide area networks (LPWANs) are without a doubt one of the domains that cause the most from industrial fields when it comes to realizing the vision of the internet of things (IoT). Long-range (LoRa) is an emerging LPWAN technology that is particularly useful for transmitting data over long distances. The goal of this work is to offer a methodology for managing oil pipelines over long distances utilizing the LoRa communication protocol and the installation of sensor nodes and LoRa gateways along the pipeline. We also used the optimized network engineering tools (OPNET) simulator to examine various simulation findings of LoRa performance.