Multi-agent simulations (MAS) for assessing massive sensor coverage and deployment
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Authors
Hynes, Sean E.
Subjects
Sensor Network
Coverage
Deployment
Exposure
Java
Artificial Intelligence
Agent
Simulation
Coverage
Deployment
Exposure
Java
Artificial Intelligence
Agent
Simulation
Advisors
Rowe, Neil C.
Date of Issue
2003-09
Date
Publisher
Monterey, California. Naval Postgraduate School
Language
Abstract
The thesis presents the design, development, and implementation of a multi-agent simulation that models coverage and deployment of mobile and non-mobile sensors performing collaborative target detection missions. The focus is on sensor networks with enough sensors that humans cannot individually manage each sensor. Experiments investigate novel search, coverage, and deployment algorithms, and compare them to known methods. The experiments show algorithms productive for area coverage are not useful for detecting unauthorized traversals and vice versa. Obstacles, sensor mechanisms, mission parameters, and deployment schemes are analyzed for their effect on coverage quality. This work facilitates further research in sensor coverage and deployment strategies using sensor agents.
Type
Thesis
Description
Series/Report No
Department
Computer Science
Organization
Identifiers
NPS Report Number
Sponsors
Funder
Format
xii, 63 p. : col. ill. ;
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.