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

Fabrice Saffre (), Hanno Hildmann and Antti Anttonen
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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
Antti Anttonen: VTT Technical Research Centre of Finland Ltd., Tekniikantie 21, Otaniemi, 02150 Espoo, Finland

Future Internet, 2023, vol. 15, issue 9, 1-19

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.

Keywords: MANET; swarm intelligence; self-organization; UAVs; drones; swarms; swarming (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2023
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