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Learning-based route management in wireless ad hoc networks
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Descriptive

TitleInfo (displayLabel = Citation Title); (type = uniform)
Title
Learning-based route management in wireless ad hoc networks
Name (ID = NAME001); (type = personal)
NamePart (type = family)
Russell
NamePart (type = given)
Brian
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Brian Russell
Role
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author
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NamePart (type = family)
Littman
NamePart (type = given)
Michael
Affiliation
Advisory Committee
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Michael L Littman
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chair
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Trappe
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Wade
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Advisory Committee
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Wade Trappe
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internal member
Name (ID = NAME004); (type = personal)
NamePart (type = family)
Kremer
NamePart (type = given)
Ulrich
Affiliation
Advisory Committee
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Ulrich Kremer
Role
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internal member
Name (ID = NAME005); (type = personal)
NamePart (type = family)
Chen
NamePart (type = given)
Yingying
Affiliation
Advisory Committee
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Yingying Chen
Role
RoleTerm (authority = RULIB)
outside member
Name (ID = NAME006); (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (ID = NAME007); (type = corporate)
NamePart
Graduate School - New Brunswick
Role
RoleTerm (authority = RULIB)
school
TypeOfResource
Text
Genre (authority = marcgt)
theses
OriginInfo
DateCreated (qualifier = exact)
2008
DateOther (qualifier = exact); (type = degree)
2008-10
Language
LanguageTerm
English
PhysicalDescription
Form (authority = marcform)
electronic
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application/pdf
InternetMediaType
text/xml
Extent
xii, 125 pages
Abstract
The nodes in a wireless ad hoc network must act as routers in a self-configuring network without infrastructure. An application running on nodes in the ad hoc network may require that intermediate nodes act as routers, receiving and forwarding data packets to other nodes to overcome limitations of noise, router congestion and limited transmission power. In existing routing protocols, the ``self-configuring'' aspect of network construction has generally been limited to route selection using a shortest-path routing metric as a predictor of routing efficiency. This limited, network-layer predictor fails to consider the effects of existing traffic on router loads and fails to consider the effects of noise experienced at the MAC layer. Not all network topologies are suited to efficient routing using a shortest-path metric. The location of the nodes and physical characteristics of the network environment can create topologies where shortest-path routing overloads some routers and underutilizes others. Similarly, noise sources can undermine the quality of wireless links depending on the relative distance between the noise sources and the receiving nodes. This dissertation presents a cross-layer predictor that combines the effects of noise and router congestion into a single time-based routing metric based on statistical estimation from recent experience. Also presented is a new cross-layer, adaptive routing protocol, called Warp-5, that not only uses the new routing metric to make better initial routing decisions in a noisy or congested network, but can also adjust previously existing routes as new routes or new noise sources are added to the network. Simulation results for Warp-5 are presented and compared to the existing shortest-path routing protocol AODV. The results show the cross-layer approach of Warp-5 to be superior to shortest-path routing protocols for managing router congestion and noise in wireless ad hoc networks.
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references (p. 121-124).
Subject (ID = SUBJ1); (authority = RUETD)
Topic
Computer Science
Subject (ID = SUBJ2); (authority = ETD-LCSH)
Topic
Ad hoc networks (Computer networks)
Subject (ID = SUBJ3); (authority = ETD-LCSH)
Topic
Wireless communication systems
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TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier (type = local)
rucore19991600001
Identifier (type = hdl)
http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.17559
Identifier
ETD_1342
Location
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NjNbRU
Identifier (type = doi)
doi:10.7282/T32807W1
Genre (authority = ExL-Esploro)
ETD doctoral
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Rights

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The author owns the copyright to this work.
Copyright
Status
Copyright protected
Availability
Status
Open
AssociatedEntity (AUTHORITY = rulib); (ID = 1)
Name
Brian Russell
Role
Copyright holder
Affiliation
Rutgers University. Graduate School - New Brunswick
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Type
Permission or license
Detail
Non-exclusive ETD license
AssociatedObject (AUTHORITY = rulib); (ID = 1)
Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
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Technical

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application/x-tar
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1100288
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windows xp
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application/x-tar
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