Sensor Fusion for Undersea Operations
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Authors
Szechtman, Roberto
Yoshida, Ruriko
Akin, Ezra
Subjects
sensor fusion
undersea operations
multi-armed bandit
MCMC
undersea operations
multi-armed bandit
MCMC
Advisors
Date of Issue
2018-04
Date
Presented April 10-12, 2018
Period of Performance: 10/01/2017-09/30/2018
Period of Performance: 10/01/2017-09/30/2018
Publisher
Monterey, California: Naval Postgraduate School
Language
en_US
Abstract
Project Summary: This executive summary describes our results on the research project entitled "Sensor Fusion for Undersea Operations." The first part deals with efficient search with incomplete information, and is motivated by the problem of searching for objects over a large area. In the undersea domain, the goal is to learn the pattern of intrusions so as to efficiently allocate search resources. The model is complicated by the fact that intruders disappear if they are not detected within some window of time. Hence, the more cells the searcher opts to search, the less effective his search can be in any one area. The key operational question we wish to answer is: How should the perimeter be searched in order to maximize the expected number of events intruders over a finite time horizon? The second part of this project is motivated by the difficulty of wireless sensor networks (WSNs) to provide coverage under water. Due to difficulties in transitioning from WSNs to underwater sensor networks (UWSNs), it is critical to develop fast and accurate communication methods with sensors on the harsh environment of the oceans. In this work, we provide a comprehensive framework to study various approximation techniques in solving discrete-domain optimal sensor placement problems. We consider two general sensor placement problems and adapt some of the most commonly used approximation techniques in solving them.
Type
Report
Description
NPS NRP Executive Summary
Series/Report No
Department
Operations Research (OR)
Organization
Naval Research Program
Identifiers
NPS Report Number
NPS-18-N124-D
Sponsors
Funder
NPS-18-N124-D
Format
4 p.
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.