Title

Application and Implementation of a Cognitive Radio Network in a Post Natural Disaster Scenario

Presenter Information

Parker Jones

Department

Computer Science

Major

Computer Science

Research Advisor

Das, Sajal K.

Advisor's Department

Computer Science

Abstract

The concept of cognitive radio networks, or CRN, was presented as a novel form of wireless communication in 1998 and has steadily been growing in popularity amongst researchers ever since. Cognitive radios are a software-defined radio platform that utilize a fully reconfigurable transceiver that adapts to the communication parameters set by the user and network. This inherently modular software based design allows for incredible versatility and robustness as a network. In a post disaster scenario where networks and traditional communications fail, it is paramount to restore communication as quickly and effectively as possible in order to provide aid to those affected. The added knowledge that this cognitive radio provides could potentially result in the saving of many lives that would have otherwise perished. To accomplish these goals I will simulate the implementation of a CRN that utilizes the vacant TV broadband spectrum channels to create basic ad hoc networks between cellular enabled smart devices. These ad hoc networks will be able to deliver messages to other nodes within the network based on an algorithm I have defined in order to notify first responders of potential victims in need of assistance.

Research Category

Research Proposals

Presentation Type

Poster Presentation

Document Type

Poster

Location

Upper Atrium/Hallway

Presentation Date

11 Apr 2016, 9:00 am - 11:45 am

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Apr 11th, 9:00 AM Apr 11th, 11:45 AM

Application and Implementation of a Cognitive Radio Network in a Post Natural Disaster Scenario

Upper Atrium/Hallway

The concept of cognitive radio networks, or CRN, was presented as a novel form of wireless communication in 1998 and has steadily been growing in popularity amongst researchers ever since. Cognitive radios are a software-defined radio platform that utilize a fully reconfigurable transceiver that adapts to the communication parameters set by the user and network. This inherently modular software based design allows for incredible versatility and robustness as a network. In a post disaster scenario where networks and traditional communications fail, it is paramount to restore communication as quickly and effectively as possible in order to provide aid to those affected. The added knowledge that this cognitive radio provides could potentially result in the saving of many lives that would have otherwise perished. To accomplish these goals I will simulate the implementation of a CRN that utilizes the vacant TV broadband spectrum channels to create basic ad hoc networks between cellular enabled smart devices. These ad hoc networks will be able to deliver messages to other nodes within the network based on an algorithm I have defined in order to notify first responders of potential victims in need of assistance.