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Resource Allocation in Communication...

Shirazipourazad, Shahrzad.

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Resource Allocation in Communication and Social Networks.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Resource Allocation in Communication and Social Networks./
Author:	Shirazipourazad, Shahrzad.
Description:	171 p.
Notes:	Source: Dissertation Abstracts International, Volume: 75-08(E), Section: B.
Contained By:	Dissertation Abstracts International75-08B(E).
Subject:	Computer Science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3619151
ISBN:	9781303878800

Resource Allocation in Communication and Social Networks.
Shirazipourazad, Shahrzad.

Resource Allocation in Communication and Social Networks. - 171 p.

Source: Dissertation Abstracts International, Volume: 75-08(E), Section: B.

Thesis (Ph.D.)--Arizona State University, 2014.

As networks are playing an increasingly prominent role in different aspects of our lives, there is a growing awareness that improving their performance is of significant importance. In order to enhance performance of networks, it is essential that scarce networking resources be allocated smartly to match the continuously changing network environment. This dissertation focuses on two different kinds of networks---communication and social, and studies resource allocation problems in these networks. The study on communication networks is further divided into different networking technologies---wired and wireless, optical and mobile, airborne and terrestrial.

ISBN: 9781303878800Subjects--Topical Terms:

626642
Computer Science.

Resource Allocation in Communication and Social Networks.
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100 1 $a Shirazipourazad, Shahrzad. $3 2099255
245 1 0 $a Resource Allocation in Communication and Social Networks.
300 $a 171 p.
500 $a Source: Dissertation Abstracts International, Volume: 75-08(E), Section: B.
500 $a Adviser: Arunabha Sen.
502 $a Thesis (Ph.D.)--Arizona State University, 2014.
520 $a As networks are playing an increasingly prominent role in different aspects of our lives, there is a growing awareness that improving their performance is of significant importance. In order to enhance performance of networks, it is essential that scarce networking resources be allocated smartly to match the continuously changing network environment. This dissertation focuses on two different kinds of networks---communication and social, and studies resource allocation problems in these networks. The study on communication networks is further divided into different networking technologies---wired and wireless, optical and mobile, airborne and terrestrial.
520 $a Since nodes in an airborne network (AN) are heterogeneous and mobile, the design of a reliable and robust AN is highly complex. The dissertation studies connectivity and fault-tolerance issues in ANs and proposes algorithms to compute the critical transmission range in fault free, faulty and delay tolerant scenarios.
520 $a Just as in the case of ANs, power optimization and fault tolerance are important issues in wireless sensor networks (WSN). In a WSN, a tree structure is often used to deliver sensor data to a sink node. In a tree, failure of a node may disconnect the tree. The dissertation investigates the problem of enhancing the fault tolerance capability of data gathering trees in WSN.
520 $a The advent of OFDM technology provides an opportunity for efficient resource utilization in optical networks and also introduces a set of novel problems, such as routing and spectrum allocation (RSA) problem. This dissertation proves that RSA problem is NP-complete even when the network topology is a chain, and proposes approximation algorithms.
520 $a In the domain of social networks, the focus of this dissertation is study of influence propagation in presence of active adversaries. In a social network multiple vendors may attempt to influence the nodes in a competitive fashion. This dissertation investigates the scenario where the first vendor has already chosen a set of nodes and the second vendor, with the knowledge of the choice of the first, attempts to identify a smallest set of nodes so that after the influence propagation, the second vendor's market share is larger than the first.
590 $a School code: 0010.
650 4 $a Computer Science. $3 626642
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710 2 $a Arizona State University. $b Computer Science. $3 1676136
773 0 $t Dissertation Abstracts International $g 75-08B(E).
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792 $a 2014
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3619151