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Computer Science > Networking and Internet Architecture

arXiv:2210.06684 (cs)
[Submitted on 13 Oct 2022]

Title:Connectivity-Aware Pheromone Mobility Model for Autonomous UAV Networks

Authors:Shreyas Devaraju, Alexander Ihler, Sunil Kumar
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Abstract:UAV networks consisting of reduced size, weight, and power (low SWaP) fixed-wing UAVs are used for civilian and military applications such as search and rescue, surveillance, and tracking. To carry out these operations efficiently, there is a need to develop scalable, decentralized autonomous UAV network architectures with high network connectivity. However, the area coverage and the network connectivity requirements exhibit a fundamental trade-off. In this paper, a connectivity-aware pheromone mobility (CAP) model is designed for search and rescue operations, which is capable of maintaining connectivity among UAVs in the network. We use stigmergy-based digital pheromone maps along with distance-based local connectivity information to autonomously coordinate the UAV movements, in order to improve its map coverage efficiency while maintaining high network connectivity.
Subjects: Networking and Internet Architecture (cs.NI)
Cite as: arXiv:2210.06684 [cs.NI]
  (or arXiv:2210.06684v1 [cs.NI] for this version)
  https://doi.org/10.48550/arXiv.2210.06684
Journal reference: IEEE 20th Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, USA, 2023, pp. 1-6, Jan. 2023
Related DOI: https://doi.org/10.1109/CCNC51644.2023.10060165

Submission history

From: Shreyas Devaraju [view email]
[v1] Thu, 13 Oct 2022 02:42:57 UTC (2,830 KB)
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