Navigation of Autonomous Swarm of Drones Using Translational Coordinates

• This work focuses on an autonomous swarm of drones, a multi-agent system, where the leader agent has the capability of intelligent decision making while the other agents in the swarm follow the leader blindly. The proposed algorithm helps with cost cutting especially in the multi-drone systems, i.e., swarms, by reducing the power consumption and processing requirements of each individual agent. It is shown that by applying a pre-specified formation design with feedback cross-referencing between the agents, the swarm as a whole can not only maintain the desired formation and navigate but also avoid collisions with obstacles and other drones. Furthermore, the power consumed by the nodes in the considered test scenario, is reduced by 50% by utilising the proposed methodology. 

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)

NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

Nyckelord

Agent-based modeling

Autonomous agents

Autonomous swarm

Autonomous swarms

Cost cuttings

Cost reduction

Cutting

Decision making

Drones

Follow the leaders

Formation design

Individual agent

Intelligent agents

Intelligent decision making

Leader follower

Multi agent systems

Multi-agent systems

Power consumed

Swarm intelligence

Test scenario

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