Files in this item

FilesDescriptionFormat

application/pdf

application/pdfSensor Placemen ... Realistic Environment.pdf (994kB)
(no description provided)PDF

Description

Title:Sensor Placement Revisited in a Realistic Environment
Author(s):Yang, Yong; Hou, I-Hong; Hou, Jennifer C.; Shankar, Millikarjun; Rao, Nageswara S.
Subject(s):ad hoc networks
networking
sensors
Abstract:Ad-hoc networks of devices and sensors with (limited) sensing and wireless communication capabilities are becoming increasingly available for commercial and military applications. Under a national SensorNet initiative, we have built prototype deployment of a detection, identification, and tracking sensor-cyber network in a variety of locations including Washington D.C. and Port of Memphis. One of the most important and up-front issues is where to place sensors in order to fulfill certain performance criteria, subject to the number of sensors to be deployed, the distribution of threats, the terrain and meteorological conditions, and the population distribution. In this paper, we revisit the sensor placement problem in a more realistic setting. Specifically, we consider three sensor placement problems and prove their equivalence. Then we focus on formulating/solving the third problem as an optimization problem: given the maximum detection time T and the coverage utility requirement C, how to place sensors so as to minimize the number of sensors. In particular, we allow the sensing area of a sensor to be anisotropic and of arbitrary shape, depending on the material released, its dosage fields and release patterns, the wind speed and direction, and the dispersion model. We define the utility function to quantify the utility of sensor coverage by considering its ability to manage potential threats. The coverage model can thus quantify the expected risks of insufficient coverage (or utilities of coverage) in different parts of the monitoring area, considering relevant environment and population data. We propose theoretically grounded solution algorithms for both the 1-coverage and k-coverage cases. The empirical study indicates that our proposed algorithms significantly outperform random and grid placement in terms of the detection time.
Issue Date:2007-04
Genre:Technical Report
Type:Text
URI:http://hdl.handle.net/2142/11325
Other Identifier(s):UIUCDCS-R-2007-2840
Rights Information:You are granted permission for the non-commercial reproduction, distribution, display, and performance of this technical report in any format, BUT this permission is only for a period of 45 (forty-five) days from the most recent time that you verified that this technical report is still available from the University of Illinois at Urbana-Champaign Computer Science Department under terms that include this permission. All other rights are reserved by the author(s).
Date Available in IDEALS:2009-04-22


This item appears in the following Collection(s)

Item Statistics