Skip to main content

Analysis of the Packet Path Lengths in the Swarms for Flying Ubiquitous Sensor Networks

  • Conference paper
  • First Online:
Distributed Computer and Communication Networks (DCCN 2016)

Abstract

The article gives an approach for estimating the packet path length between the nodes for Flying Ubiquitous Sensor Networks. Authors show that such networks may be represented as three-dimensional swarms of nodes. The mathematical models for the ball and cubic swarms are given, as well as the simulation approach for the other shapes. Also two types of network architecture are considered – direct transfer and multi-hop.

Simulation shows that the shape of the swarm significantly impact on the average packet path length both for direct and multi-hop data transfer cases: more centralized shapes (e.g. ball) give better results (smaller path length) than less centralized (e.g. cube), and this difference becomes more significant in the multi-hop mode. Number of hops for multi-hop mode also shows the same dependency.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Fettweis, G.P.: The tactile internet: applications and challenges. IEEE Veh. Technol. Mag. 9(1), 64–70 (2014)

    Article  Google Scholar 

  2. Koucheryavy, A., Vladyko, A., Kirichek, R.: State of the art and research challenges for public flying ubiquitous sensor networks. In: Balandin, S., Andreev, S., Koucheryavy, Y. (eds.) NEW2AN/ruSMART 2015. LNCS, vol. 9247, pp. 299–308. Springer, Heidelberg (2015). doi:10.1007/978-3-319-23126-6_27

    Chapter  Google Scholar 

  3. Sahingoz, O.K.: Networking model in flying Ad Hoc networks (FANETs): concepts and challenges. J. Intell. Robot. Syst. 74(12), 513527 (2014)

    Google Scholar 

  4. Kirichek, R., Paramonov, A., Koucheryavy, A.: Swarm of public unmanned aerial vehicles as a queuing network. In: 18th International Conference on Distributed Computer and Communication Networks (2015)

    Google Scholar 

  5. Weisstein, E.W.: Geometric Probability. From MathWorld-A Wolfram Web Resource. http://mathworld.wolfram.com/GeometricProbability.html

  6. Tu, S.-J., Fischbach, E.: A new geometric probability technique for an n-dimensional sphere and its applications to physics. In: ArXiv Mathematical Physics e-prints (2000)

    Google Scholar 

  7. Weisstein, E.W.: Cube Line Picking. From MathWorld-A Wolfram Web Resource. http://mathworld.wolfram.com/CubeLinePicking.html

  8. Weisstein, E.W.: Tetrahedron Line Picking. From MathWorld-A Wolfram Web Resource. http://mathworld.wolfram.com/TetrahedronLinePicking.html

Download references

Acknowledgments

The reported study was supported by RFBR, research project No. 15 07-09431a Development of the principles of construction and methods of self-organization for Flying Ubiquitous Sensor Networks.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Anastasia Vybornova .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing AG

About this paper

Cite this paper

Vybornova, A., Paramonov, A., Koucheryavy, A. (2016). Analysis of the Packet Path Lengths in the Swarms for Flying Ubiquitous Sensor Networks. In: Vishnevskiy, V., Samouylov, K., Kozyrev, D. (eds) Distributed Computer and Communication Networks. DCCN 2016. Communications in Computer and Information Science, vol 678. Springer, Cham. https://doi.org/10.1007/978-3-319-51917-3_32

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-51917-3_32

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-51916-6

  • Online ISBN: 978-3-319-51917-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics