Unmanned aerial vehicles enabled IoT platform for disaster management

W Ejaz, MA Azam, S Saadat, F Iqbal, A Hanan - Energies, 2019 - mdpi.com
Efficient and reliable systems are required to detect and monitor disasters such as wildfires
as well as to notify the people in the disaster-affected areas. Internet of Things (IoT) is the …

[PDF][PDF] A mini-review of flying ad hoc networks mobility model for disaster areas

IN Azmi, YM Yussoff, M Kassim, NM Tahir - Int. Trans. J. Eng. Manag …, 2021 - tuengr.com
This paper presents a mini-review of Flying Ad Hoc Networks'(FANETs) mobility model.
FANETs are groups of small UAVs connected in an ad hoc manner to achieve specific goals …

Force-Based Self-Organizing MANET/FANET with a UAV Swarm

F Saffre, H Hildmann, A Anttonen - Future Internet, 2023 - mdpi.com
This paper introduces a novel distributed algorithm designed to optimize the deployment of
access points within Mobile Ad Hoc Networks (MANETs) for better service quality in …

A study of mobility models for UAV communication networks

H Nawaz, HM Ali - … : glosas de innovación aplicadas a la pyme, 2019 - dialnet.unirioja.es
The Unmanned aerial vehicle communication network (UAVCN) is a group or swarm of
unmanned aerial vehicles which can be used for specific military and civilian applications …

MANET performance optimization using network-based criteria and unmanned aerial vehicles

EV Gromova, S Kireev, A Lazareva… - Journal of Sensor and …, 2021 - mdpi.com
In this contribution we consider the problem of optimal drone positioning for improving the
operation of a mobile ad hoc network. We build upon our previous results devoted to the …

Increasing the performance of a Mobile Ad-hoc Network using a game-theoretic approach to drone positioning

S Blakeway, DV Gromov, EV Gromova… - Вестник Санкт …, 2019 - cyberleninka.ru
We describe a novel game-theoretic formulation of the optimal mobile agents' placement
problem which arises in the context of Mobile Ad-hoc Networks (MANETs). This problem is …

Deep reinforcement learning for UAV-assisted emergency response

I Lee, V Babu, M Caesar, D Nicol - MobiQuitous 2020-17th EAI …, 2020 - dl.acm.org
In the aftermath of a disaster, the ability to reliably communicate and coordinate emergency
response could make a meaningful difference in the number of lives saved or lost. However …

The authentic 3D mobility model based on spiral line for aerial backbone network

D He, W Sun, L Shi - IEEE Access, 2020 - ieeexplore.ieee.org
For search and rescue (SAR), the dynamic connectivity issue caused by mobility of aerial
node will severely influence the actual performance in aerial backbone network (ABN). To …

Reinforcement learning for dynamic aerial base station positioning

I Lee - 2020 - ideals.illinois.edu
Reliable communication infrastructure plays an extremely important role in peoples'
everyday lives and the lack of sufficient communication means could have severe negative …

[PDF][PDF] Deep Reinforcement Learning for UAV-Assisted Emergency

I Lee, V Babu, M Caesar, D Nicol - 2020 - caesar.cs.illinois.edu
In the aftermath of a disaster, the ability to reliably communicate and coordinate emergency
response could make a meaningful difference in the number of lives saved or lost. However …