Distributed AdaptiveCoverage Control ofDrone Networks -

Distributed Adaptive Coverage Control of Drone Networks

Drone Applications

Intelligent software that lets a team of drones work together to cover farms autonomously— adapting in real time to soil conditions for faster, smarter, and low-maintenance field monitoring.

Institute:
IIT Delhi

PI Name:
Dr. Shubhendu Bhasin

Technology Readiness Level (TRL)
3-4

Problem
Addressed

The project tackles the challenge of coordinating multiple drones to effectively perform coverage tasks—such as soil moisture monitoring—when the environment’s sensory information is unknown and dynamically changing. Existing centralized or preprogrammed solutions are inefficient in such scenarios, and this project seeks to create adaptive, distributed algorithms that allow drones to self-organize and operate autonomously in uncertain environments.

About the
Technology

The proposed system develops a distributed adaptive coverage control algorithm for a fleet of UAVs, enabling them to autonomously distribute themselves based on real-time sensory data (e.g., soil moisture). Each drone learns environmental information and collaborates locally with neighboring drones to optimize area coverage, using minimal prior knowledge and limited communication, allowing scalable and robust operation in practical field condition

Real-time distributed control using adaptive algorithms
Minimal data richness required for convergence and performance
UAVs use local communication to achieve optimal spatial distribution
Soil moisture sensing and action using GNSS reflectometry and coordinated sprinkling
Indoor and outdoor validation with experimental drone platforms and thermal sensors

Application Areas & Use Cases

Applications include precision agriculture (e.g., automated irrigation and pest control), disaster relief (e.g., fire detection and mitigation). surveillance, environmental monitoring, and wildlife management. The technology is especially valuable where large-scale autonomous coverage is required with minimal human intervention

Drone hardware:	Custom drones with GNSS/thermal sensors
Control	Distributed adaptive control algorithms with local estimation/th>
Infrastructure	OptiTrack motion capture system for indoor tests, field experiments for outdoor validation
Hardware setup	10 Crazyflie drones, 3 custom drones, GPU server, V100-equipped laptop

Important Announcements

Payment

Registered Office:

MZ-122, IIT Delhi, Hauz Khas, New Delhi-110016 India

Corporate Office:

IHFC, Block – A, Research & Innovation Park, IIT Delhi, Hauz Khas, New Delhi – 110016

GSTN Number:

07AAFCI6629H1ZE

Designed & Developed by eClerx

+91 7042654553

contact@ihfc.co.in

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