Cluster-Based Node Placement Approach for Linear Pipeline Monitoring

Albaseer, Abdullatif; Baroudi, Uthman

doi:10.1109/access.2019.2927700

Cited by 6 publications

(2 citation statements)

References 19 publications

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“…However, they maintained similar results in the overall lifetime optimisation of the WSN. Al Baseer et al [38] proposed sensor grouping and using an adaptive clustering algorithm for intermediate data delivery to reduce energy consumption. As a result, a significant reduction between 300% to over 500% was recorded as a result of the load-sharing mechanism among the cluster heads.…”

Section: Wsn/iot-based Pipeline Monitoringmentioning

confidence: 99%

Development and Analysis of a Distributed Leak Detection and Localisation System for Crude Oil Pipelines

Ahmed

Mouël

Stouls

et al. 2023

Sensors

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Crude oil leakages and spills (OLS) isare some of the problems attributed to pipeline failures in the oil and gas industry’s midstream sector. Consequently, they are monitored via several leakage detectiondetection and localisation techniques (LDTs) comprising classical methods and, recently, Internet of Things (IoT)-based systems via wireless sensor networks (WSNs). Although the latter techniques are proven to be more efficient, they are susceptible to other types of failures such as high false alarms or single point of failure (SPOF) due to their centralised implementations. Therefore, in this work, we present a hybrid distributed leakage detection and localisation technique (HyDiLLEch), which combines multiple classical LDTs. The technique is implemented in two versions, a single-hop and a double-hop version. The evaluation of the results is based on the resilience to SPOFs, the accuracy of detection and localisation, and communication efficiency. The results obtained from the placement strategy and the distributed spatial data correlation include increased sensitivity to leakage detection and localisation and the elimination of the SPOF related to the centralised LDTs by increasing the number of node-detecting and localising (NDL) leakages to four and six in the single-hop and double-hop versionversions, respectively. In addition, the accuracy of leakages is improved from 0 to 32 m in nodes that were physically close to the leakage points while keeping the communication overhead minimal.

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Section: Wsn/iot-based Pipeline Monitoringmentioning

confidence: 99%

Development and Analysis of a Distributed Leak Detection and Localisation System for Crude Oil Pipelines

Ahmed

Mouël

Stouls

et al. 2023

Sensors

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“…In addition, this technique takes account the reception messages cost in terms of energy, and the related work only accounts for message transmissions. In Albaseer and Baroudi, 23 authors propose a clustering technique for nodes deployment. This technique divides the network into clusters of equal members.…”

Section: Related Workmentioning

confidence: 99%

Interference‐aware clustering approach improving QoS for linear WSNs using a token‐based MAC protocol

Ndoye

Diallo

Hakem

et al. 2020

Int J Communication

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Summary Wireless sensor networks (WSNs) have received a lot of attention from both academia and industry due to the increasing need for ubiquitous computing for monitoring applications, the continuous advances in miniaturization of electronic devices, and the ultra‐low‐power wireless technologies. These innovations in technology have driven the curiosity to use sensor networks in a new kind of applications such as road track or railway monitoring, border monitoring, oil and gas, or even water pipeline monitoring. Due to the underlying linear topology of these applications, a new type of network, called a linear sensor network (LSN), has emerged. Because of the specific characteristics of this application and the resource constraints of sensors, some of the major challenges faced in LSNs are to reduce end‐to‐end delays, to maximize the packet delivery ratio to a sink, and an even distribution of the load between nodes. To achieve these objectives, it is necessary to control node‐to‐node packet traffic conditions and to manage radio interference created by simultaneously active nodes. This paper addresses these challenges and proposes a new method of clustering LSNs that reduces or controls radio interference risks in order to satisfy these objectives, application needs, and the resource limitations of sensor nodes in the best possible way. This method is applied for LSNs using a token‐passing mechanism to access the medium. The performance evaluation is conducted by using a realistic propagation model in the analytical evaluation and also a NS‐2 simulation process.

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