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Muiti-layer optimization in wireless ad hoc networks
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Title
Muiti-layer optimization in wireless ad hoc networks
Name
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Wang Li
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Xiangfang
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Xiangfang Wang Li
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Zoran
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Advisory Committee
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Zoran Gajic
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David
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Advisory Committee
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David Daut
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Marsic
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Ivan
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Advisory Committee
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Ivan Marsic
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internal member
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Lelic
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Muhidin
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Advisory Committee
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Muhidin Lelic
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Rutgers University
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degree grantor
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Graduate School - New Brunswick
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theses
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2007
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2007
Language
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English
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electronic
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application/pdf
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xiv, 129 pages
Abstract
The growing prevalence of wireless ad hoc networks calls for an innovative design to support Quality of Service (QoS) while maintaining high energy efficiency and bandwidth efficiency. In this dissertation, a multi-layer optimization approach is developed in view of benefits and necessities of sharing information among different layers. Specifically, given the traffic demands with QoS requirements, how to jointly design physical, MAC and network layers to optimize the network performance is considered in this dissertation.
Firstly, a joint power control and maximally disjoint multipath routing scheme is proposed for QoS provisioning of end-to-end traffic with minimum rate constraint. A framework of power control with QoS constraints is introduced and both centralized and distributed solutions are derived. It is demonstrated by simulations that the proposed scheme provides high energy efficiency and the prolonged network lifetime, as well as robustness when augmented with a dynamic traffic monitoring and switching mechanism.
In order to fulfill the QoS requirement at the link layer, TD/CDMA has been chosen as the MAC scheme due to its support for a high network throughput in a multihop environment. The multi-link versions of proportional fair and throughput optimal scheduling algorithms are proposed for multihop wireless ad hoc networks. In addition, a generic token counter mechanism is employed to satisfy the minimum and maximum rate requirements. Approximative algorithms are suggested to reduce the computational complexity. In networks that lack centralized control, distributed scheduling algorithms are derived and fully distributed implementations are provided. Simulation results demonstrate the effectiveness of the proposed schemes.
In order to further improve bandwidth efficiency, cognitive radio is considered for more efficient spatial and temporal spectrum sharing. Specifically, we consider the scenario where a cognitive radio ad hoc network is formed by low power personal/portable devices operating simultaneously in the same frequency band along with a legacy system. A power control problem is formulated to maximize the energy efficiency of the ad hoc network, as well as to guarantee QoS for both legacy network users and ad hoc network users. The results show that cognitive radio greatly improves bandwidth efficiency of wireless ad hoc networks.
Firstly, a joint power control and maximally disjoint multipath routing scheme is proposed for QoS provisioning of end-to-end traffic with minimum rate constraint. A framework of power control with QoS constraints is introduced and both centralized and distributed solutions are derived. It is demonstrated by simulations that the proposed scheme provides high energy efficiency and the prolonged network lifetime, as well as robustness when augmented with a dynamic traffic monitoring and switching mechanism.
In order to fulfill the QoS requirement at the link layer, TD/CDMA has been chosen as the MAC scheme due to its support for a high network throughput in a multihop environment. The multi-link versions of proportional fair and throughput optimal scheduling algorithms are proposed for multihop wireless ad hoc networks. In addition, a generic token counter mechanism is employed to satisfy the minimum and maximum rate requirements. Approximative algorithms are suggested to reduce the computational complexity. In networks that lack centralized control, distributed scheduling algorithms are derived and fully distributed implementations are provided. Simulation results demonstrate the effectiveness of the proposed schemes.
In order to further improve bandwidth efficiency, cognitive radio is considered for more efficient spatial and temporal spectrum sharing. Specifically, we consider the scenario where a cognitive radio ad hoc network is formed by low power personal/portable devices operating simultaneously in the same frequency band along with a legacy system. A power control problem is formulated to maximize the energy efficiency of the ad hoc network, as well as to guarantee QoS for both legacy network users and ad hoc network users. The results show that cognitive radio greatly improves bandwidth efficiency of wireless ad hoc networks.
Note
(type = degree)
Ph.D.
Note
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Includes bibliographical references (p. 118-126).
Subject
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Topic
Electrical and Computer Engineering
Subject
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Topic
Wireless communication systems
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Title
Graduate School - New Brunswick Electronic Theses and Dissertations
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rucore19991600001
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http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.16727
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ETD_480
Location
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NjNbRU
Identifier
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doi:10.7282/T3S182W3
Genre
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ETD doctoral
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Rights
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The author owns the copyright to this work.
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Copyright protected
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Open
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xiangfang li
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Rutgers University. Graduate School - New Brunswick
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Non-exclusive ETD license
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Author Agreement License
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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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