Masters Theses

Yatin Bodas

Abstract

"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.

Advisor(s)

Agarwal, Sanjeev, 1971-

Committee Member(s)

Xiao, Hai, Dr.
Sarangapani, Jagannathan, 1965-

Department(s)

Electrical and Computer Engineering

Degree Name

M.S. in Electrical Engineering

Sponsor(s)

Leonard Wood Institute
Missouri University of Science and Technology. Intelligent Systems Center

Research Center/Lab(s)

Intelligent Systems Center

Publisher

Missouri University of Science and Technology

Publication Date

Summer 2010

Pagination

ix, 52 pages

Note about bibliography

Includes bibliographical references (pages 49-51).

Rights

© 2010 Yatin Bodas, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Subject Headings

Biological weapons -- DetectionChemical agents (Munitions) -- DetectionImmune system -- Computer simulationIntelligent agents (Computer software) -- Design

Thesis Number

T 9661

Print OCLC #

690648055

Electronic OCLC #

911037863

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