"Ubiquitous detection of chemical and biological (CB) threats in an urban environment using widely distributed, low-cost, broad-spectrum sensors carried by public or on vehicles is extremely desirable and pertinent for homeland security. These distributed sensors should interoperate autonomously and adaptively to meet stringent operational and detection performance requirements. This research explores the use of scalable detection methodology, inspired by the human immune mechanisms to meet these challenges. An adaptive spatiotemporal control mechanism is proposed to organize the detection behavior of spatially dispersed sensors using peer-to-peer communication so that a shorter response time, higher probability of detection and lower false alarm rates (FARs) are achieved at the system level even though individual sensors have only modest performance capabilities. The detection mechanism is developed to minimize the power consumption and required density of the detectors while achieving the desired performance requirements. Different tradeoffs between deployment strategies for the sensors and system level performance requirements are discussed. The effectiveness of the algorithm is demonstrated by carrying out extensive scaled simulations using agent-based models. Based on these simulation studies, some recommendations on the individual sensor performance requirements and achievable system level objectives are presented"--Abstract, page iii.
Agarwal, Sanjeev, 1971-
Xiao, Hai, Dr.
Sarangapani, Jagannathan, 1965-
Electrical and Computer Engineering
M.S. in Electrical Engineering
Leonard Wood Institute
Missouri University of Science and Technology. Intelligent Systems Center
Missouri University of Science and Technology
ix, 52 pages
© 2010 Yatin Bodas, All rights reserved.
Thesis - Restricted Access
Library of Congress Subject Headings
Biological weapons -- Detection
Chemical agents (Munitions) -- Detection
Immune system -- Computer simulation
Intelligent agents (Computer software) -- Design
Print OCLC #
Electronic OCLC #
Link to Catalog Record
Electronic access to the full-text of this document is restricted to Missouri S&T users. Otherwise, request this publication directly from Missouri S&T Library or contact your local library.http://laurel.lso.missouri.edu/record=b8069676~S5
Bodas, Yatin, "Distributed spatiotemporal detection for chemical and biological threats using human immune mechanisms" (2010). Masters Theses. 116.
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