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AgNeSA: Agility-driven Non-Terrestrial Networks using Small Airborne Swarm

  • Ranju Kumari(corresponding author)
    ,
  • Baek Young Choi
    ,
  • Sejun Song
*Corresponding author for this work
  • University of Missouri at Kansas City
Scholary Output:
Chapter in Book/Report/Conference proceeding
Conference contribution

Sustainable Development Goals

  • SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Related Event

Title

6th IEEE Future Networks World Forum, FNWF 2023

Event type

Conference

Date

11/13/2023 - 11/15/2023

Location

BaltimoreUnited States

Abstract

In the context of future Non-Terrestrial Networks (NTN) missions, the feasibility of employing compact airborne and space-borne swarms as efficient solutions for enhancing agility and scalability is gaining prominence. These swarms are structured to fragment substantial payloads into smaller units, each capable of providing specific functions and services. Despite their potential advantages, the operation of such swarms is beset with intricate challenges, particularly on the dynamic management of discovery and control mechanisms. This complexity is exacerbated when considering fractionated airborne resources that traverse distinct trajectories, giving rise to opportunistic functional operations. This paper introduces the Agility-driven NTN facilitating small airborne swarm formation (AgNeSA) approach to address the intricacies of communication and power agility within networked airborne resource control. AgNeSA leverages the concept of Software-Defined Virtual Space-borne Embedding (VSE) to facilitate a software-based dynamic control mechanism. The VSE service employs a resource reservation protocol based on priority levels to virtualize space-airborne applications, thereby surmounting the uncertainties and dynamism inherent in wireless inter-airborne communications. This is achieved through migration schedules and delay-tolerant networking (DTN) windows. To evaluate the efficacy of the proposed AgNeSA approach, the authors have developed an event-driven simulator for scheduling and visualization. Simulation results demonstrate that the migration-aware AgNeSA scheduling algorithm yields a more balanced energy consumption profile with reduced overall energy utilization compared to random and reactive scheduling approaches, all while maintaining comparable or lower latency levels.

Publication Information

Output type

Scholary Output:
Chapter in Book/Report/Conference proceeding
Conference contribution

Host publication Subtitle

Future Networks: Imagining the Network of the Future, FNWF 2023

Original language

English (US)

Publication milestones

  • Published - 2023

Publication status

Published - 2023

Publisher

Institute of Electrical and Electronics Engineers Inc.

Publication series

  • Publication series name: Proceedings - 2023 IEEE Future Networks World Forum: Future Networks: Imagining the Network of the Future, FNWF 2023

ISBN (Electronic)

9798350324587

Publication IDs

  • Scopus: 85194166773

Host publication title

Proceedings - 2023 IEEE Future Networks World Forum

Publication metrics

Metrics

Fractional count
1
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0.33
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2
Fractional count
0.67
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1
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Funding Details

This work was supported by Korea Institute for Advancement of Technology (KIAT) grant funded by the Ministry of Trade, Industry and Energy (MTIE) (No., P0019809: Building Enablers for Multi Industry Sectors Collaborative Federated Testbeds, as a Foundation (Distributed Open Platform) for Cross-Industry End-to-End Services Innovation and Delivery Agility in the 5G Beyond).
FundersFunding number
KIAT
-
MOTIE
P0019809