Abstract
Drones transmit and receive packets with each other in a wireless network setting. Packet transmission among drones fails for various reasons. The pattern of information propagation through the packet transmission in a drone network can be considered similar to the pattern of infectious disease transmission in a human interaction network. In this work, we use a Microscopic Markov Chain Approach (MMCA), which has been applied to model the patterns of disease epidemics in a human network, to investigate the packet transmission pattern in a microscopic scale. Throughout the simulation studies, we investigated the usefulness of MMCAs for a drone network.
| Original language | English |
|---|---|
| Title of host publication | ICUFN 2016 - 8th International Conference on Ubiquitous and Future Networks |
| Publisher | IEEE Computer Society |
| Pages | 79-81 |
| Number of pages | 3 |
| Volume | 2016-August |
| ISBN (Electronic) | 9781467399913 |
| DOIs | |
| Publication status | Published - 2016 Aug 9 |
| Event | 8th International Conference on Ubiquitous and Future Networks, ICUFN 2016 - Vienna, Austria Duration: 2016 Jul 5 → 2016 Jul 8 |
Other
| Other | 8th International Conference on Ubiquitous and Future Networks, ICUFN 2016 |
|---|---|
| Country | Austria |
| City | Vienna |
| Period | 16/7/5 → 16/7/8 |
Keywords
- drone
- network
- real time
- transmission
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Hardware and Architecture
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Cite this
Kim, Y., Kim, J-K., Seok, J., & Kim, B. D. (2016). Information propagation modeling in a drone network using disease epidemic models. In ICUFN 2016 - 8th International Conference on Ubiquitous and Future Networks (Vol. 2016-August, pp. 79-81). [7536986] IEEE Computer Society. https://doi.org/10.1109/ICUFN.2016.7536986