Date of Award

8-31-2017

Document Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

Department

Systems Engineering

First Advisor

Seshadri Mohan

Abstract

In recent years, the demand for spectrum has increased exponentially. Cognitive radio (CR) technology provides the capability to dynamically sense the spectrum for available channels, estimate them and select a good channel. This thesis introduces the concept of dynamic spectrum leasing methodology (DSLM), a paradigm based on game theoretic concepts. DSLM takes into account the demand for spectrum by secondary users and the willingness of primary users to relinquish spectrum in a restricted manner, making possible spectrum leasing as a long-term commercially viable concept. This thesis also introduces the notion of a Cognitive Radio Network Service Provider (CRNSP) and the leasing of spectrum by CRNSP from a Wireless Service Provider(WSP). By defining suitable utility functions, a game theoretic formulation is presented using which the CRNSP leases the licensed spectrum bands from WSP. This thesis proposes and discusses the topic of cognitive radio adhoc vehicular networks (CRAVENET) and their architecture along with applications, security requirements and challenges that arise in architecting such networks. The CRAVENET paradigm introduces entirely new challenges and security threats. This thesis proposes an architecture with reliable authentication scheme to enhance security in CRAVENET. We propose to integrate cloud computing into CRAVENET so that vehicles can share network resources. The architecture proposed facilitates vehicles to gather a variety information such as road conditions or local businesses and upload them to the cloud. The information can then be shared among vehicles and application developers, thereby paving the way for growth of innovative IoV applications. We demonstrate the potential of our architecture for real time access to IoV applications in a cloud enabled CRAVENET environment.

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