Author
Listed:
- Fabrice Saffre
(VTT Technical Research Centre of Finland Ltd., Tekniikantie 21, Otaniemi, 02150 Espoo, Finland)
- Hanno Hildmann
(Intelligent Autonomous Systems Group, TNO Netherlands Organisation for Applied Scientific Research, Oude Waalsdorperweg 63, 2597 AK The Hague, The Netherlands
Smart Sensor Systems Research Group, Department of Mechatronics, The Hague University of Applied Sciences, Rotterdamseweg 137, 2628 AL Delft, The Netherlands)
- Antti Anttonen
(VTT Technical Research Centre of Finland Ltd., Tekniikantie 21, Otaniemi, 02150 Espoo, Finland)
Abstract
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 infrastructure-less environments. The algorithm operates based on local, independent execution by each network node, thus ensuring a high degree of scalability and adaptability to changing network conditions. The primary focus is to match the spatial distribution of access points with the distribution of client devices while maintaining strong connectivity to the network root. Using autonomous decision-making and choreographed path-planning, this algorithm bridges the gap between demand-responsive network service provision and the maintenance of crucial network connectivity links. The assessment of the performance of this approach is motivated by using numerical results generated by simulations.
Suggested Citation
Fabrice Saffre & Hanno Hildmann & Antti Anttonen, 2023.
"Force-Based Self-Organizing MANET/FANET with a UAV Swarm,"
Future Internet, MDPI, vol. 15(9), pages 1-19, September.
Handle:
RePEc:gam:jftint:v:15:y:2023:i:9:p:315-:d:1242886
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jftint:v:15:y:2023:i:9:p:315-:d:1242886. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.