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Coping with Selfish Behavior in Networks using Game Theory

Abstract While network problems have been addressed using a central administrative domain with a single objective, the devices in most networks are actually not owned by a single entity but by many individual entities. These entities make their decisions independently and selfishly, and maybe cooperate with a small group of other entities only when this form of coalition yields a better return. The interaction among multiple independent decision-makers necessitates the use of game theory, including economic notions related to markets and incentives. In this dissertation, we are interested in modeling, analyzing, addressing network problems caused by the selfish behavior of network entities. First, we study how the selfish behavior of network entitie... (more)
Created Date 2013
Contributor Yang, Dejun (Author) / Xue, Guoliang (Advisor) / Richa, Andrea (Committee member) / Sen, Arunabha (Committee member) / Zhang, Junshan (Committee member) / Arizona State University (Publisher)
Subject Computer science / Algorithm / Auction / Game Theory / Optimization / Selfish Behavior
Type Doctoral Dissertation
Extent 235 pages
Language English
Reuse Permissions All Rights Reserved
Note Ph.D. Computer Science 2013
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis