Abstract

Usage of ground, air and underwater unmanned vehicles (UGV, UAV and UUV) has increased exponentially in the recent past with industries producing thousands of these unmanned vehicles every year. With the ongoing discussion of integration of UAVs in the US National Airspace, the need of a cost-effective way to verify the security and resilience of a group of communicating UAVs under attack has become very important. The answer to this need is a simulation testbed which can be used to simulate the UAV Network (UAVNet). One of these attempts is UAVSim (Unmanned Aerial Vehicle Simulation testbed) developed at the University of Toledo. It has the capability of simulating large UAV networks as well as small UAV networks with large number of attack nodes. In this paper, we analyse the performance of the simulation testbed for two attacks, targeting single and multiple UAVs. Traditional and generic computing resource available in a regular computer laboratory was used. Various evaluation results have been presented and analysed which suggest the suitability of UAVSim for UAVNet attack and swarm simulation applications.

Highlights

  • With applications in almost every field, UAVs have become really popular for applications which were limited by human element

  • The primary focus of this paper is to demonstrate the usefulness of the simulation testbed even with regular computing infrastructure

  • Two classes of attacks - single and multiple target were simulated in the in-house developed simulation testbed (UAVSim) for UAV Network (UAVNet)

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Summary

Introduction

With applications in almost every field, UAVs have become really popular for applications which were limited by human element. With applications like pizza delivery (Pizza Hut), local package delivery (Amazon), agricultural chemical deployment, ecological surveys [1,2,3,4], industries and academia are using UAVs for their research, businesses, etc, and there are much more applications to be thought of. Without doubt, their importance in the military domain has increased several folds in the recent past due to their impact on human effectiveness and safety. Keeping this in the mind, the authors noticed the need of cost-effective and safe virtual simulation testbed environment for

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