SlideShare a Scribd company logo
The professional home for the engineering and technology community worldwide
1
Drone Swarm
The professional home for the engineering and technology community worldwide
▸ Swarm drones are inspired by bird flight and achieve collective
intelligence and unsurpassed worker efficiency.
▸ These drones, mimicking avian flight, hold promise in various
applications, including environmental monitoring, search and rescue,
disaster response, and synchronized aerial shows.
▸ Recent research aims to bridge the gap between natural flight and
cutting-edge robotics by focusing on efficient.
 Teamwork for Smart Results(Swarm):
Working together as a team, achieving smarter outcomes collectively.
2
Introduction
Fig: Swarm drones
Bird Formation
The professional home for the engineering and technology community worldwide
3
Communication and Coordination:
 Communication among many drones is challenging.
 Maintaining connectivity and coordinating actions to avoid collisions or conflicts is crucial.
 Developing efficient algorithms for real-time communication and collaboration is essential for the successful
operation of drone swarms.
Collision Avoidance:
 Drones increases, the risk of collisions rises.
Safety and Security:
Sensitive missions may require human control systems to avoid potential risks. Federal law prohibits drone swarm operations in restricted
areas or for illegal activities like spying or cyber-attacks.
• Privacy and Cybersecurity: Drone swarms gather data about their surroundings, necessitating protocols to protect against the
collection and storage of sensitive information. Measures such as cybersecurity protocols are crucial to prevent unauthorized access or
malicious use of drones.
• Technical Advancements: Advancements in hardware miniaturization and computing power are essential for certain applications.
Improved algorithms are needed to simulate swarm behavior, enhancing connectivity, communications, and decision-making among
drones.
Challenges
The professional home for the engineering and technology community worldwide
4
Objectives
▸ To make sure that drones maintain a safe distance from each other to avoid
collisions.
▸ To improve the connections and overall performance for continuous autonomous
remote monitoring using a multi-communication approach.
▸ Contributions include an enhanced framework validated through simulations and
experiments, assessing control efficiency in leader-follower formations.
▸ An experiment evaluated control efficiency in leader-follower formations,
analyzing the impact of both Centralized and Decentralized communication
approaches on the system's performance.
The professional home for the engineering and technology community worldwide
Swarm Communication Architectures The communication in swarm includes:
▸ UAV TO UAV (U-T-U) communication
▸ UAV to Infrastructure (U-T-I) communication
▸ Group to group (G-T-G) communication
5
Swarm Communication
Centralized Control - A central ground station acts as a hub for controlling and
coordinating the drone swarm. The ground station communicates directly with each
individual drone, sending command and receiving telemetry data.
Peer-to-Peer networking - P2P networking allows drones within the swarm to
communicate directly with each other without relying on a central hub.
The professional home for the engineering and technology community worldwide
● Two UAVs communicate with each other by constructing multi-hop
paths with other UAVs.
● Using MAVLink protocol
● The companion computer understands MAVLink telemetry
through MavProxy software
6
UAV TO UAV (U-T-U) communication
The professional home for the engineering and technology community worldwide
UAVs communicate with the fixed central control centre(ground
station). It is a direct communication.
7
U-T-I communication
The professional home for the engineering and technology community worldwide
Group to group communication is between one group of
UAVs to another group.
8
G-T-G communication
The professional home for the engineering and technology community worldwide
Decentralised communication architecture / Flying Ad hoc network :
Multi group swarm Ad hoc network.
9
Fig: Multiple group swarm Ad-hoc Newtok
The professional home for the engineering and technology community worldwide
Decentralised communication architecture / Flying Ad hoc network :
Multi-layer swarm Ad hoc network.
10
Fig: Multilayer Swarm Ad-Hoc network
The professional home for the engineering and technology community worldwide
Drone Swarm coordination
The professional home for the engineering and technology community worldwide
12
The professional home for the engineering and technology community worldwide
13
The professional home for the engineering and technology community worldwide
14
The professional home for the engineering and technology community worldwide
▸ Swarm Intelligence (SI):collective behavior of decentralized,
self-organized systems.
▸ Introduced by Gerardo Beni and Jing Wang in 1989.
▸ Composed of simple agents interacting locally and with the
environment.
▸ Agents follow simple rules without centralized control.
▸ Complex global behavior emerges from local interactions,
unknown to individual agents.
▸ Natural examples:
▸ Ant colonies
▸ Bird flocking
▸ Animal herding
▸ Bacterial growth
▸ Fish schooling
15
The professional home for the engineering and technology community worldwide
16
The professional home for the engineering and technology community worldwide
17
The professional home for the engineering and technology community worldwide
18
The professional home for the engineering and technology community worldwide
ieee.org
The professional home for the engineering and technology community worldwide
19
THANK YOU
.
.

More Related Content

PPTX
Drone swarm technologies allow groups of drones to coordinate with each other...
PDF
many drones make light work themed competition 22 September 2016
DOCX
Introduction
PDF
Swarm Intelligence Applications in Unmanned Aerial Vehicles.pdf
PPTX
Jyotishkar dey roll 36.(swarm intelligence)
PPTX
Drone and technologiesPresentation 6.pptx
PPTX
drones ingles 1.pptx
PDF
drones-07-00269.pdf
Drone swarm technologies allow groups of drones to coordinate with each other...
many drones make light work themed competition 22 September 2016
Introduction
Swarm Intelligence Applications in Unmanned Aerial Vehicles.pdf
Jyotishkar dey roll 36.(swarm intelligence)
Drone and technologiesPresentation 6.pptx
drones ingles 1.pptx
drones-07-00269.pdf

Similar to swarm-Drone - Copy for swarm optimization (20)

PPTX
Introduction of Swarm Robotics and basics.pptx
PPTX
Intelligent robotics and drone technology-UNIT-III.pptx
PDF
AN APPROACH OF IR-BASED SHORT-RANGE CORRESPONDENCE SYSTEMS FOR SWARM ROBOT BA...
PDF
DEVELOPING AN ADAPTIVE CHANNEL MODELLING USING A GENETIC ALGORITHM TECHNIQUE ...
PDF
IRJET- - Control Center Viewing of UAS-based Real-Time Sensor and Video Measu...
PPT
Ai swarm intelligence
PDF
4_serge_ITS for drones.pdf
PPTX
C-UAS Technoligies.pptx
PDF
Improved unmanned aerial vehicle control for efficient obstacle detection and...
PDF
White paper: Enhance mobility and driver experience with multihop data exchan...
PDF
Swarming drones
PDF
Resilient Fusion Navigation Techniques Collaboration In Swarm Rong Wang
PDF
Sampling based positioning of unmanned aerial vehicles as communication relay...
PPTX
SWARM ROBOTICS TECHNOLOGYzzzzzzzzzzz.pptx
PDF
IRJET - Swarm Robotics for Agriculture
PDF
Top Innovations 12_14UnmannedSystems_web
PPTX
Swarm Computing Introduction and inspiration Group Project by Smit Patel
PPTX
Team Drone - 2021 Technology, Innovation & Great Power Competition
PDF
Drone’s node placement algorithm with routing protocols to enhance surveillance
PDF
IRJET- Swarm Robotics
Introduction of Swarm Robotics and basics.pptx
Intelligent robotics and drone technology-UNIT-III.pptx
AN APPROACH OF IR-BASED SHORT-RANGE CORRESPONDENCE SYSTEMS FOR SWARM ROBOT BA...
DEVELOPING AN ADAPTIVE CHANNEL MODELLING USING A GENETIC ALGORITHM TECHNIQUE ...
IRJET- - Control Center Viewing of UAS-based Real-Time Sensor and Video Measu...
Ai swarm intelligence
4_serge_ITS for drones.pdf
C-UAS Technoligies.pptx
Improved unmanned aerial vehicle control for efficient obstacle detection and...
White paper: Enhance mobility and driver experience with multihop data exchan...
Swarming drones
Resilient Fusion Navigation Techniques Collaboration In Swarm Rong Wang
Sampling based positioning of unmanned aerial vehicles as communication relay...
SWARM ROBOTICS TECHNOLOGYzzzzzzzzzzz.pptx
IRJET - Swarm Robotics for Agriculture
Top Innovations 12_14UnmannedSystems_web
Swarm Computing Introduction and inspiration Group Project by Smit Patel
Team Drone - 2021 Technology, Innovation & Great Power Competition
Drone’s node placement algorithm with routing protocols to enhance surveillance
IRJET- Swarm Robotics
Ad

Recently uploaded (20)

PPTX
Conformity-and-Deviance module 7 ucsp grade 12
PDF
Global Natural Disasters in H1 2025 by Beinsure
PPTX
Concept of Safe and Wholesome Water.pptx
PPTX
Topic Globalisation and Lifelines of National Economy (1).pptx
PDF
Lecture 2 investigation of renal diseses.pdf
PPTX
Making GREEN and Sustainable Urban Spaces
PPT
PPTPresentation3 jhsvdasvdjhavsdhsvjcksjbc.jasb..ppt
PPTX
"One Earth Celebrating World Environment Day"
PDF
Urban Hub 50: Spirits of Place - & the Souls' of Places
PDF
The Truth Behind Vantara zoo in Jamnagar
PDF
Blue Economy Development Framework for Indonesias Economic Transformation.pdf
PDF
Bai bao Minh chứng sk2-DBTrong-003757.pdf
PDF
Earthquake, learn from the past and do it now.pdf
PPTX
FIRE SAFETY SEMINAR SAMPLE FOR EVERYONE.pptx
PPTX
NOISE-MITIGATION.-pptxnaksnsbaksjvdksbsksk
PDF
Effective factors on adoption of intercropping and it’s role on development o...
PPTX
Green Modern Sustainable Living Nature Presentation_20250226_230231_0000.pptx
PDF
Effect of anthropisation and revegetation efforts on soil bacterial community...
PPTX
structure and components of Environment.pptx
PPTX
UN Environmental Inventory User Training 2021.pptx
Conformity-and-Deviance module 7 ucsp grade 12
Global Natural Disasters in H1 2025 by Beinsure
Concept of Safe and Wholesome Water.pptx
Topic Globalisation and Lifelines of National Economy (1).pptx
Lecture 2 investigation of renal diseses.pdf
Making GREEN and Sustainable Urban Spaces
PPTPresentation3 jhsvdasvdjhavsdhsvjcksjbc.jasb..ppt
"One Earth Celebrating World Environment Day"
Urban Hub 50: Spirits of Place - & the Souls' of Places
The Truth Behind Vantara zoo in Jamnagar
Blue Economy Development Framework for Indonesias Economic Transformation.pdf
Bai bao Minh chứng sk2-DBTrong-003757.pdf
Earthquake, learn from the past and do it now.pdf
FIRE SAFETY SEMINAR SAMPLE FOR EVERYONE.pptx
NOISE-MITIGATION.-pptxnaksnsbaksjvdksbsksk
Effective factors on adoption of intercropping and it’s role on development o...
Green Modern Sustainable Living Nature Presentation_20250226_230231_0000.pptx
Effect of anthropisation and revegetation efforts on soil bacterial community...
structure and components of Environment.pptx
UN Environmental Inventory User Training 2021.pptx
Ad

swarm-Drone - Copy for swarm optimization

  • 1. The professional home for the engineering and technology community worldwide 1 Drone Swarm
  • 2. The professional home for the engineering and technology community worldwide ▸ Swarm drones are inspired by bird flight and achieve collective intelligence and unsurpassed worker efficiency. ▸ These drones, mimicking avian flight, hold promise in various applications, including environmental monitoring, search and rescue, disaster response, and synchronized aerial shows. ▸ Recent research aims to bridge the gap between natural flight and cutting-edge robotics by focusing on efficient.  Teamwork for Smart Results(Swarm): Working together as a team, achieving smarter outcomes collectively. 2 Introduction Fig: Swarm drones Bird Formation
  • 3. The professional home for the engineering and technology community worldwide 3 Communication and Coordination:  Communication among many drones is challenging.  Maintaining connectivity and coordinating actions to avoid collisions or conflicts is crucial.  Developing efficient algorithms for real-time communication and collaboration is essential for the successful operation of drone swarms. Collision Avoidance:  Drones increases, the risk of collisions rises. Safety and Security: Sensitive missions may require human control systems to avoid potential risks. Federal law prohibits drone swarm operations in restricted areas or for illegal activities like spying or cyber-attacks. • Privacy and Cybersecurity: Drone swarms gather data about their surroundings, necessitating protocols to protect against the collection and storage of sensitive information. Measures such as cybersecurity protocols are crucial to prevent unauthorized access or malicious use of drones. • Technical Advancements: Advancements in hardware miniaturization and computing power are essential for certain applications. Improved algorithms are needed to simulate swarm behavior, enhancing connectivity, communications, and decision-making among drones. Challenges
  • 4. The professional home for the engineering and technology community worldwide 4 Objectives ▸ To make sure that drones maintain a safe distance from each other to avoid collisions. ▸ To improve the connections and overall performance for continuous autonomous remote monitoring using a multi-communication approach. ▸ Contributions include an enhanced framework validated through simulations and experiments, assessing control efficiency in leader-follower formations. ▸ An experiment evaluated control efficiency in leader-follower formations, analyzing the impact of both Centralized and Decentralized communication approaches on the system's performance.
  • 5. The professional home for the engineering and technology community worldwide Swarm Communication Architectures The communication in swarm includes: ▸ UAV TO UAV (U-T-U) communication ▸ UAV to Infrastructure (U-T-I) communication ▸ Group to group (G-T-G) communication 5 Swarm Communication Centralized Control - A central ground station acts as a hub for controlling and coordinating the drone swarm. The ground station communicates directly with each individual drone, sending command and receiving telemetry data. Peer-to-Peer networking - P2P networking allows drones within the swarm to communicate directly with each other without relying on a central hub.
  • 6. The professional home for the engineering and technology community worldwide ● Two UAVs communicate with each other by constructing multi-hop paths with other UAVs. ● Using MAVLink protocol ● The companion computer understands MAVLink telemetry through MavProxy software 6 UAV TO UAV (U-T-U) communication
  • 7. The professional home for the engineering and technology community worldwide UAVs communicate with the fixed central control centre(ground station). It is a direct communication. 7 U-T-I communication
  • 8. The professional home for the engineering and technology community worldwide Group to group communication is between one group of UAVs to another group. 8 G-T-G communication
  • 9. The professional home for the engineering and technology community worldwide Decentralised communication architecture / Flying Ad hoc network : Multi group swarm Ad hoc network. 9 Fig: Multiple group swarm Ad-hoc Newtok
  • 10. The professional home for the engineering and technology community worldwide Decentralised communication architecture / Flying Ad hoc network : Multi-layer swarm Ad hoc network. 10 Fig: Multilayer Swarm Ad-Hoc network
  • 11. The professional home for the engineering and technology community worldwide Drone Swarm coordination
  • 12. The professional home for the engineering and technology community worldwide 12
  • 13. The professional home for the engineering and technology community worldwide 13
  • 14. The professional home for the engineering and technology community worldwide 14
  • 15. The professional home for the engineering and technology community worldwide ▸ Swarm Intelligence (SI):collective behavior of decentralized, self-organized systems. ▸ Introduced by Gerardo Beni and Jing Wang in 1989. ▸ Composed of simple agents interacting locally and with the environment. ▸ Agents follow simple rules without centralized control. ▸ Complex global behavior emerges from local interactions, unknown to individual agents. ▸ Natural examples: ▸ Ant colonies ▸ Bird flocking ▸ Animal herding ▸ Bacterial growth ▸ Fish schooling 15
  • 16. The professional home for the engineering and technology community worldwide 16
  • 17. The professional home for the engineering and technology community worldwide 17
  • 18. The professional home for the engineering and technology community worldwide 18
  • 19. The professional home for the engineering and technology community worldwide ieee.org The professional home for the engineering and technology community worldwide 19 THANK YOU . .