Date of Degree

9-2019

Document Type

Dissertation

Degree Name

Ph.D.

Program

Computer Science

Advisor

Bilal Khan

Committee Members

Kirk Dombrowski

Spiros Bakiras

Shweta Jain

Subject Categories

OS and Networks

Keywords

cognitive radio, dynamic spectrum access, bio-social networking, Internet of Things, behavioral-ecological networks

Abstract

Saturation of wireless channels is inevitable as the number of wireless devices grows exponentially in an environment of limited radio spectrum capacity. Cognitive radio technology has been proposed to relieve overcrowded spectrum resources by allowing licensed channels to be opportunistically accessed by unlicensed users (cognitive radio devices) during periods of time when the license holder (primary user) is absent from its channel. Uncoordinated competition over limited resources among cognitive radio devices poses complex co-existence challenges. We propose novel bio-social inspired behavioral models and map out plausible evolutionary trajectories of co-use strategies in the cognitive radio ecosystem. By drawing parallels between cognitive radio networks and social animal species competing over limited resources, we aim to foresee trends in large-scale distributed wireless network deployments. More specifically, we explore how in the natural course of competition over wireless channels, foraging with limited sensory capabilities might evolve over time to more sophisticated sensory capabilities capturing sociality in the form of intra-group and inter-group deference relationships. The bio-social paradigm presented here has consequences both in suggesting potential improvements for dynamic spectrum access and in understanding the natural evolvement of resource sharing/conflict dynamics in cognitive radio populations.

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