Devising geographic diffusion for drone networks

Jiyeon Lee, Kangho Kim, Hyunsoon Kim, Hwangnam Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

With the rise of drones, providing a strong connectivity to the drones has become an indispensable part. Especially when the multiple drones are deployed, communication among each drone and a ground control station (GCS) is essential for delivering control message. However, traditional routing algorithms take too long time to construct routing table (eg. proactive routing protocol) or require large memory and high computing power (eg. reactive routing protocol). In this paper, we provide concept of an adaptive forwarding area based routing algorithm (AFAR) and exploit it for drone networks after making several modifications for drones. Although AFAR is originally designed for the smart grid, its routing algorithm is based on geographic information and flooding. Since these design fundamentals correspond to characteristics of drones, we adopted AFAR for drones. We increased dimensions of geographic information to 3D from 2D, and we made use of global positioning system (GPS) for new grid system. The real implementation of AFAR-D was evaluated with a traditional routing algorithm.

Original languageEnglish
Title of host publicationICUFN 2016 - 8th International Conference on Ubiquitous and Future Networks
PublisherIEEE Computer Society
Pages76-78
Number of pages3
Volume2016-August
ISBN (Electronic)9781467399913
DOIs
Publication statusPublished - 2016 Aug 9
Event8th International Conference on Ubiquitous and Future Networks, ICUFN 2016 - Vienna, Austria
Duration: 2016 Jul 52016 Jul 8

Other

Other8th International Conference on Ubiquitous and Future Networks, ICUFN 2016
CountryAustria
CityVienna
Period16/7/516/7/8

Fingerprint

Routing algorithms
Routing protocols
Drones
Global positioning system
Data storage equipment
Communication

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture

Cite this

Lee, J., Kim, K., Kim, H., & Kim, H. (2016). Devising geographic diffusion for drone networks. In ICUFN 2016 - 8th International Conference on Ubiquitous and Future Networks (Vol. 2016-August, pp. 76-78). [7536985] IEEE Computer Society. https://doi.org/10.1109/ICUFN.2016.7536985

Devising geographic diffusion for drone networks. / Lee, Jiyeon; Kim, Kangho; Kim, Hyunsoon; Kim, Hwangnam.

ICUFN 2016 - 8th International Conference on Ubiquitous and Future Networks. Vol. 2016-August IEEE Computer Society, 2016. p. 76-78 7536985.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Lee, J, Kim, K, Kim, H & Kim, H 2016, Devising geographic diffusion for drone networks. in ICUFN 2016 - 8th International Conference on Ubiquitous and Future Networks. vol. 2016-August, 7536985, IEEE Computer Society, pp. 76-78, 8th International Conference on Ubiquitous and Future Networks, ICUFN 2016, Vienna, Austria, 16/7/5. https://doi.org/10.1109/ICUFN.2016.7536985
Lee J, Kim K, Kim H, Kim H. Devising geographic diffusion for drone networks. In ICUFN 2016 - 8th International Conference on Ubiquitous and Future Networks. Vol. 2016-August. IEEE Computer Society. 2016. p. 76-78. 7536985 https://doi.org/10.1109/ICUFN.2016.7536985
Lee, Jiyeon ; Kim, Kangho ; Kim, Hyunsoon ; Kim, Hwangnam. / Devising geographic diffusion for drone networks. ICUFN 2016 - 8th International Conference on Ubiquitous and Future Networks. Vol. 2016-August IEEE Computer Society, 2016. pp. 76-78
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