Date of Graduation

5-2008

Document Type

Thesis

Degree Name

Bachelor of Science in Computer Engineering

Degree Level

Undergraduate

Department

Computer Science and Computer Engineering

Advisor

Di, Jia

Reader

Thompson, Craig W.

Second Reader

Parkerson, Patrick

Abstract

Traditional automatic target recognition (ATR) is performed by unmanned aerial vehicles (UAVs) depending on a central control tower to provide the high level organization of the system. The UAVs fly through a region of interest to identify targets and relay all communication through a central control tower. The centralized approach to ATR has limited fault-tolerance, scalability with regards to the number of UAVs, and susceptibility to malicious attacks on the central tower [2]. A swarm-driven alternative [1] is extended with a communication control scheme to address fault-tolerance and scalability while utilizing the higher onboard processing power now available for UAVs [2]. The purpose of this paper is to compare the organization systems, centrally controlled versus distributed swarm, and extend on swarm research in the area of communication to aid in the comparison. A swarm communication algorithm is proposed and simulated during search and destroy missions in the MultiUAV2 simulation framework. Highlighted algorithm properties will be time to message completion, bandwidth costs of each configuration, scalability, and quality of service.

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