Nothing Special   »   [go: up one dir, main page]

skip to main content
10.1145/3539493.3539580acmconferencesArticle/Chapter ViewAbstractPublication PagesmobisysConference Proceedingsconference-collections
research-article

Communication in a Drone-Platoon using Geographic Routing

Published: 27 June 2022 Publication History

Abstract

Aerial networking has been the subject of growing research with the rising possibility of Unmanned Aerial Vehicles or drones being used in a broad variety of contexts and a broad range of environments. One of the important problems has been perceived as that of routing for internal communication within a platoon of drones, in the face of time-varying and a large range of possible positioning of various drones within a platoon. Single-route approaches, whether proactive or reactive, are susceptible to voids, as well as dynamic topology variation. Drawing on previous work, we investigate the applicability of geodiffuse pathsets, a type of geographic routing, in the aerial context. In this paper, we first study simply extending the idea to the three-dimensional context in a straightforward way. Then, we introduce a variant that may provide a potentially better alternative to the original algorithm for a combination of fast-changing platoon topologies and bulk data transfer. Our results from this initial investigation confirm that our approach is a promising one for further study and application in drone platoon networking.

References

[1]
2012. Google Project Wing. https://x.company/projects/wing/
[2]
2016. Amazon Prime Air Drone Delivery. https://www.amazon.com/Amazon-Prime-Air/b?ie=UTF8&node=8037720011
[3]
2019. Aerial Experimentation and Research Platform for Advanced Wireless. https://aerpaw.org
[4]
Art Pregler, AT&T. 2017. When COWs Fly: AT&T Sending LTE Signals from Drones. https://about.att.com/innovationblog/cows_fly
[5]
Trisha Biswas and Rudra Dutta. 2011. Spatially Diffuse Pathsets for Robust Routing in Ad Hoc Networks. In 2011 IEEE Global Telecommunications Conference - GLOBECOM 2011. 1–6. https://doi.org/10.1109/GLOCOM.2011.6133499
[6]
Trisha Biswas and Rudra Dutta. 2014. Reliability prediction of diffused pathset routing in wireless multihop networks. In 2014 IEEE Global Communications Conference. 1290–1295. https://doi.org/10.1109/GLOCOM.2014.7036986
[7]
Pietro Boccadoro, Alessandro Santorsola, and Luigi Alfredo Grieco. 2020. A Dual-Stack Communication System for the Internet of Drones. In Ad-Hoc, Mobile, and Wireless Networks, Luigi Alfredo Grieco, Gennaro Boggia, Giuseppe Piro, Yaser Jararweh, and Claudia Campolo (Eds.). Springer International Publishing, Cham, 71–83.
[8]
Armir Bujari, Claudio E. Palazzi, and Daniele Ronzani. 2018. A Comparison of Stateless Position-based Packet Routing Algorithms for FANETs. IEEE Transactions on Mobile Computing 17, 11 (2018), 2468–2482. https://doi.org/10.1109/TMC.2018.2811490
[9]
Jeff Desjardins. 2018. Amazon and UPS are betting big on drone delivery. Business Insider. https://www.businessinsider.com/amazon-and-ups-are-betting-big-on-drone-delivery-2018-3
[10]
Goldman Sachs. 2016. Drones: Reporting for Work. https://www.goldmansachs.com/insights/technology-driving-innovation/drones/
[11]
J. Johnsson and A. Levin. 2018. Boeing Is Getting Ready to Sell Flying Taxis. Bloomberg. https://www.bloomberg.com/news/articles/2018-03-01/boeing-is-getting-ready-to-sell-flying-taxis-within-a-decade
[12]
Charles Jumaa Katila, Antonio Di Gianni, Chiara Buratti, and Roberto Verdone. 2017. Routing protocols for video surveillance drones in IEEE 802.11s Wireless Mesh Networks. In 2017 European Conference on Networks and Communications (EuCNC). 1–5. https://doi.org/10.1109/EuCNC.2017.7980778
[13]
Jiyeon Lee, Kangho Kim, Hyunsoon Kim, and Hwangnam Kim. 2016. Devising geographic diffusion for drone networks. In 2016 Eighth International Conference on Ubiquitous and Future Networks (ICUFN). 76–78. https://doi.org/10.1109/ICUFN.2016.7536985
[14]
Xingqin Lin, Vijaya Yajnanarayana, Siva D Muruganathan, Shiwei Gao, Henrik Asplund, Helka-Liina Maattanen, Mattias Bergstrom, Sebastian Euler, and Y-P Eric Wang. 2018. The sky is not the limit: LTE for unmanned aerial vehicles. IEEE Communications Magazine 56, 4 (2018), 204–210.
[15]
Deolinda Moura, Lucas Guardalben, Miguel Luis, and Susana Sargento. 2017. A Drone-Quality Delay Tolerant Routing Approach for Aquatic Drones Scenarios. In 2017 IEEE Globecom Workshops (GC Wkshps). 1–7. https://doi.org/10.1109/GLOCOMW.2017.8269070
[16]
Magreth Mushi, Harsh Joshi, Rudra Dutta, Ismail Guvenc, Mihail L Sichitiu, Brian Floyd, and Thomas Zajkowski. 2022. The AERPAW Experiment Workflow - Considerations for Designing Usage Models for a Computing-supported Physical Research Platform. In Proceedings of the 9th International Workshop on Computer and Networking Experimental Research using Testbeds (CNERT), organized in conjunction with INFOCOM 2022.
[17]
Qualcomm. 2017. LTE Unmanned Aircraft Systems. https://www.qualcomm.com/media/documents/files/lte-unmanned-aircraft-systems-trial-report.pdf

Cited By

View all
  • (2024)Adapting Petal Routing to Variable Network ConditionsProceedings of the 10th Workshop on Micro Aerial Vehicle Networks, Systems, and Applications10.1145/3661810.3663469(37-42)Online publication date: 3-Jun-2024

Index Terms

  1. Communication in a Drone-Platoon using Geographic Routing

    Recommendations

    Comments

    Please enable JavaScript to view thecomments powered by Disqus.

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    DroNet '22: Proceedings of the Eighth Workshop on Micro Aerial Vehicle Networks, Systems, and Applications
    July 2022
    47 pages
    ISBN:9781450394055
    DOI:10.1145/3539493
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Sponsors

    In-Cooperation

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 27 June 2022

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. Geographic Routing
    2. Multi-hop Routing
    3. Packet Transmission Redundancy
    4. Petal Routing

    Qualifiers

    • Research-article

    Conference

    MobiSys '22
    Sponsor:

    Acceptance Rates

    DroNet '22 Paper Acceptance Rate 7 of 7 submissions, 100%;
    Overall Acceptance Rate 29 of 50 submissions, 58%

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)16
    • Downloads (Last 6 weeks)1
    Reflects downloads up to 21 Nov 2024

    Other Metrics

    Citations

    Cited By

    View all
    • (2024)Adapting Petal Routing to Variable Network ConditionsProceedings of the 10th Workshop on Micro Aerial Vehicle Networks, Systems, and Applications10.1145/3661810.3663469(37-42)Online publication date: 3-Jun-2024

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media