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Estimation Theory on Random Graphs for Offset Detection in Sensor Networks


Abstract A distributed sensor network (DSN) is a set of spatially scattered intelligent sensors designed to obtain data across an environment. DSNs are becoming a standard architecture for collecting data over a large area. We need registration of nodal data across the network in order to properly exploit having multiple sensors. One major problem worth investigating is ensuring the integrity of the data received, such as time synchronization.

Consider a group of match filter sensors. Each sensor is collecting the same data, and comparing the data collected to a known signal. In an ideal world, each sensor would be able to collect the data without offsets or noise in the system. Two models can be followed from this. First, each sensor could make a ... (more)
Created Date 2016-05
Contributor Monardo, Vincent James (Author) / Cochran, Douglas (Thesis Director) / Kierstead, Hal (Committee Member) / Electrical Engineering Program / School of Mathematical and Statistical Sciences / Barrett, The Honors College
Subject Sensor Networks / Detection Theory / Electrical Engineering
Series Academic Year 2015-2016
Type Text
Extent 22 pages
Language English
Rights All Rights Reserved
Collaborating Institutions Barrett, the Honors College
Additional Formats MODS / OAI Dublin Core / RIS


This content is under embargo until Apr 12, 2018

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