Deployment and evaluation of a wireless sensor network for methane leak detection

Somov, Andrey; Baranov, Alexander; Spirjakin, Denis; Spirjakin, Andrey; Sleptsov, V. V.; Passerone, Roberto

doi:10.1016/j.sna.2012.11.047

Cited by 112 publications

(55 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…For example, in a campus environment, each building can be monitored by a WSN of several gas detectors, and a mechanic may send a gas leak query into the building complex in order to receive the geographical location of the gas leak area as a response [1]. In the same campus, each parking lot can be monitored by a WSN [2] and parking lots can be federated in order to allow distance-sensitive queries such as: "Where is the nearest available parking space".…”

Section: Introductionmentioning

confidence: 99%

Querying on Federated Sensor Networks

Can

Demirbaş

2016

JSAN

View full text Add to dashboard Cite

A Federated Sensor Network (FSN) is a network of geographically distributed Wireless Sensor Networks (WSNs) called islands. For querying on an FSN, we introduce the Layered Federated Sensor Network (L-FSN) Protocol. For layered management, L-FSN provides communication among islands by its inter-island querying protocol by which a query packet routing path is determined according to some path selection policies. L-FSN allows autonomous management of each island by island-specific intra-island querying protocols that can be selected according to island properties. We evaluate the applicability of L-FSN and compare the L-FSN protocol with various querying protocols running on the flat federation model. Flat federation is a method to federate islands by running a single querying protocol on an entire FSN without distinguishing communication among and within islands. For flat federation, we select a querying protocol from geometrical, hierarchical cluster-based, hash-based, and tree-based WSN querying protocol categories. We found that a layered federation of islands by L-FSN increases the querying performance with respect to energy-efficiency, query resolving distance, and query resolving latency. Moreover, L-FSN's flexibility of choosing intra-island querying protocols regarding the island size brings advantages on energy-efficiency and query resolving latency.

show abstract

Section: Introductionmentioning

confidence: 99%

Querying on Federated Sensor Networks

Can

Demirbaş

2016

JSAN

View full text Add to dashboard Cite

show abstract

“…But this technology also has its own challenges. The high power consumption of combustible gas detection systems is a restricting factor which needs to be considered [8], [9]. Sensors designed for this purpose and having on board batteries cannot have a long time life cycle [1] and moreover in some applications like structural health monitoring of critical infrastructures and buildings, it is difficult to replace or recharge batteries [10].…”

Section: Introductionmentioning

confidence: 99%

Energy Harvesting for Wireless Sensor Networks Review

Akbari

2014

Annals of Computer Science and Information Systems

View full text Add to dashboard Cite

Abstract-With the widespread use of wireless sensors, the management of their energy resources has become a topic of research. Wireless sensors usually use batteries as their power supply but in some applications battery replacement can be cumbersome and require considerable amount of time which can affect the process being monitored. It is possible to harvest energy from the sources in nature for wireless sensors. In this article, a review of current alternative energy sources has been demonstrated in order to address the feasibility of their integration with wireless sensor networks.

show abstract

“…Among these techniques, acoustics phenomenon is most widely used; acoustic waves generated due to leakage are recorded using sensors and transducers, though the technique is rendered ineffective if leak is not abrupt or small enough. There are a variety of sensors and transducers used for multiple applications [2][3][4]. The performance level of a leak detection system can be established by a series of factors.…”

Section: Introductionmentioning

confidence: 99%

A Method for Distributed Pipeline Burst and Leakage Detection in Wireless Sensor Networks Using Transform Analysis

Rashid

Qaisar

Saeed

et al. 2014

International Journal of Distributed Sensor Networks

View full text Add to dashboard Cite

Bursts and leakages have turned out to be one of the most frequent malfunctions in liquid pipeline distribution systems. In recent years, the issue has gained a lot of attention in research community due to associated financial costs, environmental hazards, and safety considerations. Wireless sensor network (WSN) based leakage detection and localization can provide an exceptional level of operational efficiency, safety assurance, and real-time parametric view of the entire pipeline network. In this paper, we propose a transient pressure wave based technique coupled with wavelet analysis to achieve reliable detection and localization of abrupt bursts and leakages. The presented technique uses the information carried in the transient pressure signal. A specific pattern is induced on the pressure traces within the pipeline due to leak; we use wavelet analysis to detect these local singularities. The proposed algorithm is distributed in nature and run on low power sensor nodes. The algorithm is deployed in field on a custom pipeline test bed and performance results are documented for various testing scenarios. A comparison of proposed wavelet technique with other widely used methods has been carried out. The technique provides more than 90% accuracy in a number of deployment scenarios for high noise generating long pipeline networks.

show abstract

Deployment and evaluation of a wireless sensor network for methane leak detection

Cited by 112 publications

References 15 publications

Querying on Federated Sensor Networks

Querying on Federated Sensor Networks

Energy Harvesting for Wireless Sensor Networks Review

A Method for Distributed Pipeline Burst and Leakage Detection in Wireless Sensor Networks Using Transform Analysis

Contact Info

Product

Resources

About