Thesis (M.A.)--Ohio University, November, 2008. / Title from PDF t.p. Includes bibliographical references.

Thesis (M.S.)--Worcester Polytechnic Institute. / Keywords: switch; network fault tolerance. Includes bibliographical references (p. 65-68).

Thesis PlanB (M.S.)--University of Wisconsin--Stout, 2009. / Includes bibliographical references.

Dissertation (Ph.D.)--Auburn University, / Abstract. Vita. Includes bibliographic references (p.116-121).

Thesis (Ph.D.) - Carleton University, 2007. / Includes bibliographical references (p. 182-189). Also available in electronic format on the Internet.

Thesis (M.S.)--Florida State University, 2005. / Advisor: Zhenhai Duan, Florida State University, College of Arts and Sciences, Dept. of Computer Science. Title and description from dissertation home page (viewed Jan. 26, 2006). Document formatted into pages; contains x, 50 pages. Includes bibliographical references.

Thesis (Ph.D)--Electrical and Computer Engineering, Georgia Institute of Technology, 2010. / Committee Chair: Li, Geoffrey Ye; Committee Member: Ma, Xiaoli; Committee Member: Stuber, Gordon; Committee Member: Wardi, Yorai; Committee Member: Yu, Xingxing. Part of the SMARTech Electronic Thesis and Dissertation Collection.

Thesis (Ph. D.)--University of Texas at Austin, 2006. / Vita. Includes bibliographical references.

Thesis (MTech (Information Technology))--Cape Peninsula University of Technology, 2017. / Information Centric Networking (ICN) is an emerging research field that aims to replace the current host-centric model of Content distribution on the Internet. In ICN architectures, network devices not only forward Content, but also store it thus effectively distributing the traffic load and making access to Content faster. In this thesis, the ability to utilize ICN as the content distribution scheme in WMNs is explored. The main contribution is the development of IcnMesh – a simulator that integrates a Content-Centric scheme in Wireless Mesh Networks thus allowing the study of ICN Content distribution schemes in WMNs. Through simulation experiments, it is shown that ICN schemes can significantly enhance the performance of a WMN and eliminate some of their existing shortcomings.

abstract: 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. 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. 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. 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. 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. / Dissertation/Thesis / Ph.D. Computer Science 2014