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Energy Efficient Legitimate Wireless Surveillance of UAV Communications
Ref: CISTER-TR-190103       Publication Date: 4, Jan, 2019

Abstract:
Unmanned Aerial Vehicles (UAVs) enhance connectivity and accessibility for civilian and military applications. Criminals or terrorists can potentially use UAVs for committing crimes and terrorism, thus endangering public safety. In this article, we consider that a legitimate UAV proactively eavesdrops suspicious UAVs' communication via sending jamming signals, and tracks their flight for preventing intended crimes and terror attacks. An energy-efficient jamming strategy is proposed for the legitimate UAV to maximize the amount of eavesdropped packets. Moreover, a tracking algorithm is developed for the legitimate UAV to track the suspicious flight by comprehensively utilizing eavesdropped packets, angle-of-arrival and received signal strength of the suspicious transmitter's signal. A new simulation framework is implemented to combine the complementary features of optimization toolbox with channel modeling (in Matlab) and discrete event-driven mobility tracking (in NS3). Moreover, numerical results validate the proposed algorithms in terms of packet eavesdropping rate and tracking accuracy of the suspicious UAVs' trajectory.

Kai Li

,

Razvan Christian Voicu

,

Salil S. Kanhere

,

Wei Ni

,

Eduardo Tovar