Wireless Sensor Node for Gas Pipeline Leak Detection and Location

Boaz, Lawrence; Kaijage, Shubi; Sinde, Ramadhani

doi:10.5120/17627-8394

Cited by 7 publications

(9 citation statements)

References 7 publications

(4 reference statements)

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“…An architecture was even proposed and designed using various components such as the XBee RF module and a microcontroller, whose results were produced by simulation. However, just like the previous works, [21] fails to deliver on the performance analysis of detection. This is also the case for references [22][23][24][25]; all of them focus on architecture and implementation.…”

Section: Related Workmentioning

confidence: 84%

“…Boaz et al [21] focus on wireless sensor nodes for gas pipeline leak detection and localization. They discuss the theories and environmental constraints for wireless sensor nodes and its usage in the detection of sound excited by jetting gas indicating a gas pipeline leakage, and about its frequency.…”

Section: Related Workmentioning

confidence: 99%

“…(29) and (30) based on q: A centre fusion processing scheme at the BS was then established using Eqs. (21) and (22) with a general simulated result and insight into the number of packets dropped and the number of detections at the BS. The simulated results and discussion are as follows.…”

Section: Evaluating Leak Detection Performance With Wsnmentioning

confidence: 99%

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A statistical analysis on the leak detection performance of underground and overground pipelines with wireless sensor networks through the maximum likelihood ratio test

Duru

Ani

2017

Sādhanā

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Leaks in pipelines of the oil and gas industry are an economic and environmental problem that needs to be detected early and effectively. Wireless sensor networks (WSNs) have been researched as one of those technologies to be used in the remote monitoring of pipeline infrastructure. The idea of using tiny sensor nodes on pipelines seemingly provides industries with effective and reliable real-time monitoring, and better coverage density per area. The benefits are apparent in the deployment of WSNs for pipeline monitoring. However, what really lacks is an actual comparison in the detection performance between deployment in overground pipelines and underground pipelines. Extensive research has been going on the use of wireless underground sensor networks for a number of applications. This paper attempts to provide a statistical insight on the concepts of leak detection performance of WSNs when deployed on overground and underground pipelines. The approach in the study employs the hypothesis testing problem to formulate a solution on the detection plan. Through the hypothesis test, the maximum likelihood ratio scheme is used to provide an optimal performance analysis of the detection idea. The test also takes into consideration the signal to noise ratio performance of the two settings of underground and overground and is crucial in bringing up a conjecture on the performance of detection. As would be shown in the paper, thresholds, determined by probability, are the key in ensuring a good detecting performance for the WSN.

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Section: Related Workmentioning

confidence: 84%

Section: Related Workmentioning

confidence: 99%

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A statistical analysis on the leak detection performance of underground and overground pipelines with wireless sensor networks through the maximum likelihood ratio test

Duru

Ani

2017

Sādhanā

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“…Pipeline accidents (unpredictable) that lead to oil leaks would result in irregular temperature readings beneath the pipe, whereas a ruptured gas line causes a temperature decrease above the pipe. Hence, continuous monitoring of both temperature and pressure on oil and gas pipelines would prompt the process of detecting leaks or ruptured pipes, which would enable faster response to any new accidents that could be a threat to the surrounding environment [2,5,6].…”

Section: Introduction To Wsn On Oil and Gas Pipelinesmentioning

confidence: 99%

Static Network Performance Optimisation Using Dual Interleave Routing Algorithm

Subramaniam

Khan

Nilavalan

2018

IIUMEJ

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In the recent years, there is an increasing demand on multi-hop wireless sensor networks (WSN) especially for remote condition and integrity monitoring of oil and gas pipelines. The sensing points are connected through WSN points, known as a wireless communication medium, between the remotely measured locations on a pipeline and a centralised monitoring station, located some distance away. Generally, WSN deployment on a multi-hop linear topology has critical factors that contribute towards overall degrading of network performance proportional to the number of nodes. This is especially true in highly dense networks. In general, such a drawback contributes towards poor network reliability, low network capacity, high latency, and inequality with snowballing effect, increasing in the direction of the destination node. This paper introduces the Dual Interleaving Linear Static Routing (DI-LSR) for a multi-hop linear network with high reliability and efficiency to significantly enhance the overall network performance of a pipeline network. The DI-LSR was tested and analysed according to IEEE 802.11 standard in a various simulation environment for future real-time deployment in a pipeline network. ABSTRAK: Sejak beberapa tahun kebelakangan ini, terdapat permintaan yang drastik pada rangkaian multi-hop sensor wayarles (WSN) terutamanya bagi pemantauan jarak jauh dan integriti saluran paip minyak dan gas. Kesemua unit pengesan antara lokasi disambung melalui satu saluran WSN yang dikenali sebagai medium komunikasi wayarles dan diukur ke stesen pemantauan berpusat. Penempatan WSN pada topologi linear multi-hop mempunyai faktor-faktor penyumbang kepada penurunan prestasi keseluruhan rangkaian yang berkadar dengan jumlah bilangan nod dalam rangkaian yang padat. Secara umum, kelemahan ini adalah penyumbang kepada kebolehpercayaan rangkaian, kapasiti rangkaian rendah, respon rangkaian tinggi dan faktor pendorong kesan ketidaksamaan terhadap nod destinasi. Kajian ini memperkenalkan Dual interleaving Linear Static Routing (DI-LSR) iaitu algoritma jalinan komunikasi cekap bagi mencapai peningkatan ketara keseluruhan prestasi dalam saluran paip rangkaian. DI-LSR telah diuji dan dianalisa dalam pelbagai persekitaran simulasi mengikut piawaian IEEE 802.11 bagi mengatur kedudukan pada masa depan saluran paip rangkaian.

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“…The current research in LWSNs addresses problems as they arise from a narrow application perspective. For instance, many routing protocols were proposed for pipeline monitoring applications [2], [3], [4]. In such protocols, data collection is typically accomplished through specialized mobile or powerrich nodes.…”

Section: Introductionmentioning

confidence: 99%

A Wireless Sensor Network Border Monitoring System: Deployment Issues and Routing Protocols

et al. 2017

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International audienceExternal border surveillance is critical to the se- curity of every state and the challenges it poses are changing and likely to intensify. Wireless Sensor Networks (WSN) are a low cost technology that provide an intelligence-led solution to effective continuous monitoring of large, busy and complex landscapes. The linear network topology resulting from the structure of the monitored area raises challenges that have not been adequately addressed in the literature to date. In this paper, we identify an appropriate metric to measure the quality of WSN border crossing detection. Furthermore, we propose a method to calculate the required number of sensor nodes to deploy in order to achieve a specified level of coverage according to the chosen metric in a given belt region, while maintaining radio connectivity within the network. Then, we contribute a novel cross layer routing protocol, called Levels Division Graph (LDG), designed specifically to address the communication needs and link reliability for topologically linear WSN applications. The performance of the proposed protocol is extensively evaluated in simulations using realistic conditions and parameters. LDG simu- lation results show significant performance gains when compared to its best rival in the literature, Dynamic Source Routing (DSR). Compared to DSR, LDG improves the average end-to-end delays by up to 95%, packet delivery ratio by up to 20%, and throughput by up to 60%, while maintaining comparable performance in terms of normalized routing load and energy consumption

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Wireless Sensor Node for Gas Pipeline Leak Detection and Location

Cited by 7 publications

References 7 publications

A statistical analysis on the leak detection performance of underground and overground pipelines with wireless sensor networks through the maximum likelihood ratio test

A statistical analysis on the leak detection performance of underground and overground pipelines with wireless sensor networks through the maximum likelihood ratio test

Static Network Performance Optimisation Using Dual Interleave Routing Algorithm

A Wireless Sensor Network Border Monitoring System: Deployment Issues and Routing Protocols

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