Effects of Jamming on a Multi-Agent Flocking Model with Distributed Estimation of Global Features

In this paper, we study the influence of communication jamming on the operation of multi-agent systems through computer simulations. In our investigation, a simple flocking model with collision avoidance is adopted, and a recently proposed algorithm for distributed estimation of global features is studied as well. The objective of the research is to study the effects of jamming on the achievement of velocity and estimation consensuses. Simulation results indicate that communication jamming delays the achievement of both velocity and estimation consensuses, and the amount of delay roughly increases linearly with the jamming range.