Visible to the public Distributed adaptive beam nulling to mitigate jamming in 3D UAV mesh networks

TitleDistributed adaptive beam nulling to mitigate jamming in 3D UAV mesh networks
Publication TypeConference Paper
Year of Publication2017
AuthorsBhunia, S., Sengupta, S.
Conference Name2017 International Conference on Computing, Networking and Communications (ICNC)
Keywords3D mesh, 3D spatial filtering, 3D spatial reuse, 3D UAV mesh networks, 3D wireless mesh networks, adaptive beam nulling, aircraft communication, antennas, attack mitigation, autonomous aerial vehicles, beam null border, compositionality, directional antenna, disruptive attacks, distributed adaptive beam nulling, distributed mechanism, Extraterrestrial measurements, Interference, interference suppression, jamming, jamming attack avoidance, jamming mitigation, Kalman filter, Kalman filter based tracking mechanism, Kalman filters, MANET, Mesh networks, Metrics, mobile jammer, motion measurement, next generation mission critical wireless networks, optimisation, optimization goal, pubcrawl, resilience, Resiliency, spectral utilization, Tracking, unmanned aerial vehicles, VANET, wireless mesh networks

With the advancement of unmanned aerial vehicles (UAV), 3D wireless mesh networks will play a crucial role in next generation mission critical wireless networks. Along with providing coverage over difficult terrain, it provides better spectral utilization through 3D spatial reuse. However, being a wireless network, 3D meshes are vulnerable to jamming/disruptive attacks. A jammer can disrupt the communication, as well as control of the network by intelligently causing interference to a set of nodes. This paper presents a distributed mechanism of avoiding jamming attacks by means of 3D spatial filtering where adaptive beam nulling is used to keep the jammer in null region in order to bypass jamming. Kalman filter based tracking mechanism is used to estimate the most likely trajectory of the jammer from noisy observation of the jammer's position. A beam null border is determined by calculating confidence region of jammer's current and next position estimates. An optimization goal is presented to calculate optimal beam null that minimizes the number of deactivated links while maximizing the higher value of confidence for keeping the jammer inside the null. The survivability of a 3D mesh network with a mobile jammer is studied through simulation that validates an 96.65% reduction in the number of jammed nodes.

Citation Keybhunia_distributed_2017