Connected Partial Hybrid-Type Target Coverage Model in Wireless Sensor Networks

2011 ◽  
Vol 55-57 ◽  
pp. 1653-1658
Author(s):  
Mao Wen Wang ◽  
Bao Pin Guo
Keyword(s):  
Sensor Network ◽  
Base Station ◽  
Wireless Sensor ◽  
Target Coverage ◽  
Sensor Coverage ◽  
Hybrid Type ◽  
Coverage Model ◽  
Coverage Problems ◽  
Complex Target ◽  
Partial Hybrid

This model has the advantage of solving the sensor coverage problems with complex target types. In this paper, we analyze the problem of Clifford connected partial Hybrid-type target coverage where cover sets are allowed to monitor a subset of the Hybrid-type targets at any point in time, while Clifford connectivity with the base station is retained. We analyzed the Clifford connection Partial target coverage, and proposed an algorithm--- CSNCPCCA on the basis of the Clifford connecting partial Hybrid-type coverage model of Clifford sensor network. At the same time the deployment of the sensor network achieves full coverage and connectivity among working nodes. Finally, we tested and verified the rationality of the model and the algorithm with actual data.

An Evidence-Based Sensor Coverage Model

2012 ◽  
Vol 16 (9) ◽  
pp. 1462-1465 ◽  
Author(s):  
Mustapha Reda Senouci ◽  
Abdelhamid Mellouk ◽  
Latifa Oukhellou ◽  
Amar Aissani
Keyword(s):  
Evidence Based ◽  
Sensor Coverage ◽  
Coverage Model

scholarly journals A Hydrodynamic and Surface Coverage Model Capable of Predicting Settled Effluent Turbidity Subsequent to Hydraulic Flocculation

2018 ◽  
Vol 35 (12) ◽  
pp. 1273-1285 ◽  
Author(s):  
William H. Pennock ◽  
Monroe L. Weber-Shirk ◽  
Leonard W. Lion
Keyword(s):  
Surface Coverage ◽  
Coverage Model

Application of Visual Beam Ultrasonic Phased Array in Inspection of Weld in Tubular Node

2015 ◽  
Author(s):  
Shaojun Wang ◽  
Xiaoying Tang ◽  
Houde Yu ◽  
Yaozhou Qian ◽  
Jun Cheng ◽  
...  
Keyword(s):  
Welded Joints ◽  
Phased Array ◽  
Sound Beam ◽  
Ultrasonic Sound ◽  
Array Technology ◽  
Coverage Model ◽  
Ultrasonic Phased Array ◽  
Arbitrary Section ◽  
Tubular Joint ◽  
Low Efficiency

Responding to complexity and particularity welding on the geometry of TKY tubular node, this paper constructs mathematical model of tubular joint weld of arbitrary section by simplifying the geometry structure, and draws welded joints and ultrasonic sound beam lines based on the actual specifications in order to solve the problems of low efficiency, positioning difficulty, missing inspection and etc. The computeraided simulation technology can realize the visualization in the beam coverage model of welded joints, which can commendably guide the design of ultrasonic phased array inspection and overcome the blindness of the instrument detection parameters, thus improving the effectiveness and pertinence of the actual detection. Study shows that it is beneficial to enhance the effectiveness of the detection tubular joint weld by employment of Visual beam and ultrasonic phased array technology.

An asperity-based fractional coverage model for transfer films on a tribological surface

Wear ◽  
2011 ◽  
Vol 270 (3-4) ◽  
pp. 127-139 ◽  
Author(s):  
E.Y.A. Wornyoh ◽  
C.F. Higgs
Keyword(s):  
Fractional Coverage ◽  
Transfer Films ◽  
Coverage Model

Capturing Glacier-Wide Cryoseismicity With Distributed Acoustic Sensing

2021 ◽  
Author(s):  
Fabian Walter ◽  
Patrick Paitz ◽  
Andreas Fichtner ◽  
Pascal Edme ◽  
Wojciech Gajek ◽  
...  
Keyword(s):  
Fiber Optic ◽  
Flow Line ◽  
Ground Deformation ◽  
Sensor Coverage ◽  
Mountain Glacier ◽  
Acoustic Sensing ◽  
Alpine Glacier ◽  
Glacier Ice ◽  
Distributed Acoustic Sensing ◽  
Ice Sheet Dynamics

<p>Over the past 1-2 decades, seismological measurements have provided new and unique insights into glacier and ice sheet dynamics. At the same time, sensor coverage is typically limited in harsh glacial environments with littile or no access. Turning kilometer-long fiber optic cables placed on the Earth’s surface into thousands of seismic sensors, Distributed Acoustic Sensing (DAS) may overcome the limitation of sensor coverage in the cryosphere.</p><p>First DAS applications on the Greenland and Antarctic ice sheets and on Alpine glacier ice have highlighted the technique’s superiority. Signals of natural and man-made seismic sources can be resolved with an unrivaled level of detail. This offers glaciologists new perspectives to interpret their seismograms in terms of ice structure, basal boundary conditions and source locations. However, previous studies employed only relatively small network scales with a point-like borehole deployment or < 1 km cable aperture at the ice surface.</p><p>Here we present a DAS installation, which aims to cover the majority of an Alpine glacier catchment: For one month in summer 2020 we deployed a 9 km long fiber optic cable on Rhonegletscher, Switzerland, and gathered continuous DAS data. The cable followed the glacier’s central flow line starting in the lowest kilometer of the ablation zone and extending well into the accumulation area. Even for a relatively small mountain glacier such as Rhonegletscher, cable deployment was a considerable logistical challenge. However, initial data analysis illustrates the benefit compared to conventional cryoseismological instrumentation: DAS measurements capture ground deformation over many octaves, including typical high-frequency englacial sources (10s to 100s of Hz) related to crevasse formation and basal sliding as well as long period signals (10s to 100s of seconds) of ice deformation. Depending on the presence of a snow cover, DAS records contain strong environmental noise (wind, meltwater flow, precipitation) and thus exhibit lower signal-to-noise ratios compared to conventional on-ice seismic installations. This is nevertheless outweighed by the advantage of monitoring ground unrest and ice deformation of nearly an entire glacier. We present a first compilation of signal and noise records and discuss future directions to leverage DAS data sets in glaciological research.</p><p> </p><p> </p><p> </p>

A fractal modification of the surface coverage model for an electrochemical arsenic sensor

2019 ◽  
Vol 296 ◽  
pp. 491-493 ◽  
Author(s):  
Xiao-Xia Li ◽  
Dan Tian ◽  
Chun-Hui He ◽  
Ji-Huan He
Keyword(s):  
Surface Coverage ◽  
Coverage Model ◽  
Modification Of The Surface
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