Optimal transport is a framework that facilitates the most efficient allocation of limited amount resources. However, scheme does not necessarily preserve fairness. In this paper, we establish which explicitly considers fairness dynamic resource over network with heterogeneous participants. As computing strategy in centralized fashion requires significant computational resources, it imperative to develop computationally light algorithm can be applied large scale problems. To end, fully...

The use of unmanned aerial vehicles (drones) is expanding to commercial, scientific, and agriculture applications, including surveillance, product deliveries photography. One challenge for applications drones detecting obstacles avoiding collisions. A typical solution this issue the camera sensors or ultrasonic obstacle detection sometimes just manual control (teleoperation). However, these solutions have costs in battery lifetime, payload, operator skill. We note that there will be an air...

The United States Department of Defense (DoD) has long been interested in aerial swarms for military intelligence, surveillance, and reconnaissance (ISR) missions. Through work with DoD partners, we found a unique need dynamic task allocation (TA) algorithm swarm unmanned systems (UAS). Capable control algorithms have already developed but deploying such an actual swarm, reliably, requires information exchange data organization among the agents. To this end, introduce collaborative swarming...

Optimal transport (OT) is a framework that can be used to guide the optimal allocation of limited amount resources. The classical OT paradigm does not consider malicious attacks in its formulation and thus designed plan lacks resiliency an adversary. To address this concern, we establish explicitly accounts for adversarial stealthy manipulation participating nodes network during strategy design. Specifically, propose game-theoretic approach capture strategic interactions between planner...

An autonomous drone flying near obstacles needs to be able detect and avoid the or it will collide with them. In prior work, drones can walls using data from camera, ultrasonic laser sensors mounted either on in environment. It is not always possible instrument environment, added consume payload power - both of which are constrained for drones.This paper studies how mining classification techniques used predict where an obstacle relation based only monitoring air-disturbance. We modeled...

Optimal transport (OT) is a framework that can guide the design of efficient resource allocation strategies in network multiple sources and targets. This paper applies discrete OT to swarm UAVs novel way achieve appropriate task execution. Drone deployments already operate domains where sensors are used gain knowledge an environment [1]. Use cases such as, chemical radiation detection, thermal RGB imaging create specific need for algorithm considers parameters on both UAV waypoint side...

Optimal transport (OT) is a framework that can guide the design of efficient resource allocation strategies in network multiple sources and targets. To ease computational complexity large-scale design, we first develop distributed algorithm based on alternating direction method multipliers (ADMM). However, such vulnerable to sensitive information leakage when an attacker intercepts decisions communicated between nodes during ADMM updates. this end, propose privacy-preserving mechanism output...

Optimal transport (OT) is a framework that can be used to guide the optimal allocation of limited amount resources. The classical OT paradigm does not consider malicious attacks in its formulation and thus designed plan lacks resiliency an adversary. To address this concern, we establish explicitly accounts for adversarial stealthy manipulation participating nodes network during strategy design. Specifically, propose game-theoretic approach capture strategic interactions between planner...

Optimal transport is a framework that facilitates the most efficient allocation of limited amount resources. However, scheme does not necessarily preserve fairness. In this paper, we establish which explicitly considers fairness dynamic resource over network with heterogeneous participants. As computing strategy in centralized fashion requires significant computational resources, it imperative to develop computationally light algorithm can be applied large scale problems. To end, fully...