Optimizing the Performance of an Unpredictable UAV Swarm for Intruder Detection

2020 ◽  
pp. 37-48 ◽  
Author(s):  
Daniel H. Stolfi ◽  
Matthias R. Brust ◽  
Grégoire Danoy ◽  
Pascal Bouvry
Keyword(s):  
Intruder Detection ◽  
Uav Swarm

CONSOLE: intruder detection using a UAV swarm and security rings

2021 ◽  
Author(s):  
Daniel H. Stolfi ◽  
Matthias R. Brust ◽  
Grégoire Danoy ◽  
Pascal Bouvry
Keyword(s):  
Intruder Detection ◽  
Uav Swarm

Wireless Grid and Intruder Detection Server

2013 ◽  
Author(s):  
Shrawan Kumar ◽  
Arun Pratap Srivastava
Keyword(s):  
Intruder Detection ◽  
Wireless Grid

scholarly journals 3-D Deployment of UAV Swarm for Massive MIMO Communications

2021 ◽  
pp. 1-1
Author(s):  
Ning Gao ◽  
Xiao Li ◽  
Shi Jin ◽  
Michail Matthaiou
Keyword(s):  
Massive Mimo ◽  
Mimo Communications ◽  
Uav Swarm

Dynamic Polygon Generation for Flexible Pattern Formation in Large-Scale UAV Swarm Networks

2020 ◽  
Author(s):  
Gunasekaran Raja ◽  
Kottilingam Kottursamy ◽  
Ajay Theetharappan ◽  
Korhan Cengiz ◽  
Aishwarya Ganapathisubramaniyan ◽  
...  
Keyword(s):  
Pattern Formation ◽  
Large Scale ◽  
Uav Swarm

scholarly journals UAV Formation Shape Control via Decentralized Markov Decision Processes

Algorithms ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 91
Author(s):  
Md Ali Azam ◽  
Hans D. Mittelmann ◽  
Shankarachary Ragi
Keyword(s):  
Control Problem ◽  
Shape Control ◽  
Formation Control ◽  
Three Dimensional ◽  
Geographical Region ◽  
Dynamic Programming Method ◽  
Theoretic Approach ◽  
Control Approach ◽  
Uav Swarm ◽  
Markov Decision

In this paper, we present a decentralized unmanned aerial vehicle (UAV) swarm formation control approach based on a decision theoretic approach. Specifically, we pose the UAV swarm motion control problem as a decentralized Markov decision process (Dec-MDP). Here, the goal is to drive the UAV swarm from an initial geographical region to another geographical region where the swarm must form a three-dimensional shape (e.g., surface of a sphere). As most decision-theoretic formulations suffer from the curse of dimensionality, we adapt an existing fast approximate dynamic programming method called nominal belief-state optimization (NBO) to approximately solve the formation control problem. We perform numerical studies in MATLAB to validate the performance of the above control algorithms.

scholarly journals Secrecy Energy Efficiency Maximization for UAV Swarm Assisted Multi-Hop Relay System: Joint Trajectory Design and Power Control

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 37784-37799
Author(s):  
Jiansong Miao ◽  
Hairui Li ◽  
Ziyuan Zheng ◽  
Chu Wang
Keyword(s):  
Energy Efficiency ◽  
Power Control ◽  
Trajectory Design ◽  
Relay System ◽  
Uav Swarm
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