Data preservation in intermittently connected sensor networks via data aggregation

<p> Intermittently connected sensor networks are a subset of wireless sensor networks that have a high data volume and suffer from the problem of infrequent data offloading. When the generated data exceeds the storage capacity of the network between offloading opportunities, there must be some...

Full description

Bibliographic Details
Main Author:	Hsu, Tiffany
Language:	EN
Published:	California State University, Long Beach 2014
Subjects:	Information Science\|Computer Science
Online Access:	http://pqdtopen.proquest.com/#viewpdf?dispub=1527382

id	ndltd-PROQUEST-oai-pqdtoai.proquest.com-1527382
record_format	oai_dc
spelling	ndltd-PROQUEST-oai-pqdtoai.proquest.com-15273822014-04-10T03:56:55Z Data preservation in intermittently connected sensor networks via data aggregation Hsu, Tiffany Information Science\|Computer Science <p> Intermittently connected sensor networks are a subset of wireless sensor networks that have a high data volume and suffer from the problem of infrequent data offloading. When the generated data exceeds the storage capacity of the network between offloading opportunities, there must be some method of data preservation. This requires two phases: compressing the data and redistributing it. The use of data aggregation with consideration given to minimizing total energy is examined as a solution for the compression problem. Simulations of the optimal solution and an approximation heuristic are compared.</p> California State University, Long Beach 2014-04-08 00:00:00.0 thesis http://pqdtopen.proquest.com/#viewpdf?dispub=1527382 EN
collection	NDLTD
language	EN
sources	NDLTD
topic	Information Science\|Computer Science
spellingShingle	Information Science\|Computer Science Hsu, Tiffany Data preservation in intermittently connected sensor networks via data aggregation
description	<p> Intermittently connected sensor networks are a subset of wireless sensor networks that have a high data volume and suffer from the problem of infrequent data offloading. When the generated data exceeds the storage capacity of the network between offloading opportunities, there must be some method of data preservation. This requires two phases: compressing the data and redistributing it. The use of data aggregation with consideration given to minimizing total energy is examined as a solution for the compression problem. Simulations of the optimal solution and an approximation heuristic are compared.</p>
author	Hsu, Tiffany
author_facet	Hsu, Tiffany
author_sort	Hsu, Tiffany
title	Data preservation in intermittently connected sensor networks via data aggregation
title_short	Data preservation in intermittently connected sensor networks via data aggregation
title_full	Data preservation in intermittently connected sensor networks via data aggregation
title_fullStr	Data preservation in intermittently connected sensor networks via data aggregation
title_full_unstemmed	Data preservation in intermittently connected sensor networks via data aggregation
title_sort	data preservation in intermittently connected sensor networks via data aggregation
publisher	California State University, Long Beach
publishDate	2014
url	http://pqdtopen.proquest.com/#viewpdf?dispub=1527382
work_keys_str_mv	AT hsutiffany datapreservationinintermittentlyconnectedsensornetworksviadataaggregation
_version_	1716662759701086208

Data preservation in intermittently connected sensor networks via data aggregation

Similar Items