IISc researchers develop game theory-based model to protest intrusion by foreign drone

Suresh Sundaram, Associate Professor in the Department of Aerospace Engineering, IISc, and his group have now developed a novel approach called DREAM (Dynamic Resource Allocation with decentralized Multi-task assignment) to address these limitations.

IISc researchers develop game theory-based model to protest intrusion by foreign drone

IISc researchers have developed a game theory-based model called DREAM that can optimize the resources needed to tackle intrusion by foreign drones or UAVs. Unmanned aerial vehicles, better known as drones, are now commonly used in defense, surveillance, and other domestic activities. However, a foreign or unidentified drone could potentially breach the privacy and security of a protected place or facility. 

To safeguard such critical airspace and infrastructure, researchers resort to game theory – mathematical modelling of strategic interactions among a set of players. The players who try to intrude into the region are called intruders and other players who monitor the region and capture intruders while operating within the territory are referred to as defenders. However, a defender can only neutralize a single homogeneous intruder moving with constant speed in a convex territorial space. But in a real-life scenario, intruders are more likely to be heterogeneous (moving at varying speeds in more than one direction) within a complex territorial space.  

Suresh Sundaram, Associate Professor in the Department of Aerospace Engineering, IISc, and his group have now developed a novel approach called DREAM (Dynamic Resource Allocation with decentralized Multi-task assignment) to address these limitations. DREAM can tackle heterogeneous intruders, including sudden intruder pop-ups. In addition, Spatio-temporal multi-task assignments with an online computed dynamic-sized team of defenders ensure that fewer defenders are utilized against the larger number of intruders. 

DREAM has several advantages compared to conventional game theory models: it is more efficient, is simpler, has a superior success rate, is better at using resources, is readily scalable and is online computable. The authors plan to focus on extending DREAM to three-dimensional problems with constrained navigational space in hard-to-observe regions. These theoretical ideas will be applied in ongoing the anti-drone project for protecting the restricted airspace.  

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