TriopusNet: Automating wireless sensor network deployment and replacement in pipeline monitoring

Lai, Ted Tsung-Te; Chen, Wei‐Ju; Li, Kuei-Han; Huang, Polly; Chu, Hao-Hua

doi:10.1109/ipsn.2012.6920951

Cited by 36 publications

(42 citation statements)

References 18 publications

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“…Among these, most of them need special network setups like automotive tools/robots/vehicles and they generally are divided in different categories [1][2], [6]. Deployment Schemes are classified as those that require special network setups and extra automotive tools [7][8][9][10][11] and use homogenous types of sensors. All these protocols require extraordinary system and multiple types of robots/AUVs equipped with special sensor moves over the pipeline.…”

Section: Related Workmentioning

confidence: 99%

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Scalable Nodes Deployment Algorithm for the Monitoring of Underwater Pipeline

et al. 2016

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Underwater Wireless Linear Sensor Networks (UW-LSNs Keywords: scalability, heterogeneity, nodes deployment algorithm, underwater pipeline monitoringCopyright © 2016 Universitas Ahmad Dahlan. All rights reserved. IntroductionUnderwater environments do not remain feasible for human operators due to the harsh underwater activities, high water pressure, hazardous underwater creatures, vast areas for exploration and lack of high frequency signals propagation [1]. Due to the underwater acoustic communication, the signal propagation speed is decreased to the speed of sound. Although in underwater, sound waves travel longer and faster than the air but still they are five times slower than the electromagnetic waves [2]. Most of deployment algorithms and routing protocols do not remain suitable for such environments as they necessitate random nodes deployment, joint topology, 2D area, higher data rate, and outcomes in large end-to-end delays [3]. Although significant areas of improvement are highly required to be there in UW-LSN monitoring techniques like scalable nodes deployment, distribution of large network, minimization of the delay in communication and efficient data deliveries to the sink; but the available data rates for the long range underwater applications is very low and not feasible for the real time communication. In short, it seems to be hard to increase the data rate for the long range underwater communication where scalable and efficient nodes deployments in distributed topology are highly supportive in this regard.In fact, UW-LSNs and terrestrial sensor networks have many common properties including deployment of large number of nodes and energy constraints; but UW-LSN stays unique in many aspects from the terrestrial sensor networks [4]. Firstly, most of the times homogenous types of sensor nodes are deployed randomly that are not scalable for extension of underwater pipelines monitoring coverage. Secondly, UW-LSN requires special deployment algorithms that assign proper nodes positions in 3D dynamic underwater environment. Thirdly, sensors are linearly deployed to maintain the linear topology and distributed topology network [5] that divides the pipeline length into sub-zones and ranges of heterogeneous sensors.

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Section: Related Workmentioning

confidence: 99%

“…TriopusNet [8] i) It needs special nodes deployment algorithm to release pool of robots in the pipeline.…”

Section: Requirements and Limitationsmentioning

confidence: 99%

Scalable Nodes Deployment Algorithm for the Monitoring of Underwater Pipeline

et al. 2016

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“…In the architectural model used in [2] and [3], at each level of hierarchy functionality of set of nodes is different. Hence each level of hierarchy contains different types of nodes with different computing and memory capacity.…”

Section: Wsn Nodesmentioning

confidence: 99%

Efficient wireless network services for civil Structure Health Monitoring

Kulkarni

Anupama

Goveas

2015

2015 International Conference on Computing and Network Communications (CoCoNet)

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Structural Health Monitoring (SHM) is one of the important application domains of Wireless Sensor Networks (WSN) where health status of a civil structure is monitored continuously. Pipeline Monitoring is one of the important applications in the area of WSN SHM that uses a hierarchical network with heterogeneous nodes where each layer assigned different task by using different types of nodes. The main objective of this study is to save energy by effective utilization of WSN network services for pipeline monitoring. Major challenge is to collect large amount of data using minimum transmission. In this paper a Query Processing (QP) technique is tested to reduce the number of transmissions. The simulation is done for a set of queries with the background of long running continuous data collection. The query processing technique accepts queries in declarative language and then transforms into an efficient set of queries based on similarity of data. The implementation is done using MATLAB with Berkeley-Intel lab data as the basic setup. Results of simulation confirm the QP technique is energy efficient. MATLAB user interface is used to display results. The interface is simple and easy to implement.

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“…TriopusNet [14] is a solution for autonomous continuous monitoring of pipelines. The solution however assumes that the path of a sensor can be made deterministic by controlling the flow of water, which is impractical without disrupting the function of the WDS.…”

Section: B State Of the Art In Wds Monitoring Using Mobile Sensorsmentioning

confidence: 99%