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On the quality of deployment in wireless sensor networks
Date
2005-01-01
Author
Onur, Ertan
Delic, H
Metadata
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This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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When wireless sensors are used to keep an area under surveillance, a critical issue is the quality of the deployment from the sensing coverage viewpoint. In this paper, we propose several quality measures, which indicate if the deployment provides sufficient coverage, or whether redeployment is required or not. The terrain is modelled as a grid and the placement of the sensors is uniformly distributed. Neyman-Pearson detection is utilized to determine the effects of false alarm and signal characteristics on the measures.
Subject Keywords
Intelligent networks
,
Wireless sensor networks
,
Acoustic signal detection
,
Surveillance
,
Sensor phenomena and characterization
,
Acoustic sensors
,
Intrusion detection
,
Sonar detection
,
AWGN
,
Computer networks
URI
https://hdl.handle.net/11511/48145
DOI
https://doi.org/10.1109/contel.2005.185950
Collections
Department of Computer Engineering, Conference / Seminar
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Most of the recent studies on wireless sensor networks deal with the communication coverage. However, for the surveillance wireless sensor networks, sensing coverage is an open research area. In this paper, the sensing coverage area of surveillance wireless sensor networks is studied. The sensing coverage is determined by applying Neyman-Pearson Detection Model and Dijkstra's shortest path algorithm is applied to find the weakest breach path. Although individually not enough, breach probability is an approp...
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When wireless sensors are used to keep an area under surveillance, a critical issue is the quality of the deployment from the sensing coverage viewpoint. In this paper, we propose several quality measures, which indicate if the deployment provides sufficient coverage, or whether redeployment is required or not. The terrain is modeled as a grid and the placement of the sensors is uniformly distributed. Neyman–Pearson detection is utilized to determine the effects of false-alarm and signal characteristics on ...
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E. Onur and H. Delic, “On the quality of deployment in wireless sensor networks,” 2005, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/48145.