Zigbee and Long-Range Architecture Based Monitoring System for Oil Pipeline Monitoring with the Internet of Things

Rajesh Singh, Mohammed Baz, Ch. Lakshmi Narayana, Mamoon Rashid, Anita Gehlot, Shaik Vaseem Akram, Sultan S. Alshamrani, Deepak Prashar and Ahmed Saeed AlGhamdi
Additional contact information
Rajesh Singh: School of Electronics and Electrical Engineering, Lovely Professional University, Jalandhar 144411, India
Mohammed Baz: Department of Computer Engineering, College of Computer and Information Technology, Taif University, P.O. Box 11099, Taif 21994, Saudi Arabia
Ch. Lakshmi Narayana: School of Electronics and Electrical Engineering, Lovely Professional University, Jalandhar 144411, India
Mamoon Rashid: Department of Computer Engineering, Faculty of Science and Technology, Vishwakarma University, Pune 411048, India
Anita Gehlot: School of Electronics and Electrical Engineering, Lovely Professional University, Jalandhar 144411, India
Shaik Vaseem Akram: School of Electronics and Electrical Engineering, Lovely Professional University, Jalandhar 144411, India
Sultan S. Alshamrani: Department of Information Technology, College of Computer and Information Technology, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia
Deepak Prashar: School of Computer Science and Engineering, Lovely Professional University, Jalandhar 144411, India
Ahmed Saeed AlGhamdi: Department of Computer Engineering, College of Computer and Information Technology, Taif University, P.O. Box 11099, Taif 21994, Saudi Arabia

Sustainability, 2021, vol. 13, issue 18, 1-25

Abstract: Oil pipeline monitoring is having a significant role in minimizing the impact on the environment and humans during pipeline accidents. The real-time monitoring of oil pipelines empowers the authorities to have continuous supervision of the oil pipeline. The Internet of Things (IoT) provides an opportunity for realizing the real-time monitoring system by deploying the IoT-enabled end devices on the oil pipeline. In this study, we propose a hybrid architecture based on 2.4 GHz-based Zigbee and LoRa communication for oil pipeline monitoring. Moreover, customized end devices and LoRa based gateway are designed and implemented for sensing the critical parameters of an oil pipeline. Here, we have performed the simulation of ZigBee communication on the OPNET simulator for evaluating the parameters such as packet delivery ratio (PDR), retransmission attempts, throughput, medium access (MAC) queue size, and queue delay. Furthermore, the distinct evaluation metrics of LoRa such as bit rate, link budget, and receiver sensitivity are also included. Finally, a real-time experiment is implemented with customized end devices and a gateway for evaluating the proposed architecture. In the real-time experiment, the devices and gateway are logging the pressure sensory data into the Cayenne cloud.

Keywords: Cayenne cloud; IoT; oil pipeline; Zigbee; LoRa; OPNET simulator (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
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