@inproceedings{4d805f82ade14979a3b84bdacecec7fe,
title = "Information propagation modeling in a drone network using disease epidemic models",
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.",
keywords = "drone, network, real time, transmission",
author = "Yoojoong Kim and Kim, {Jong Kook} and Junhee Seok and Kim, {Byoung Du}",
note = "Funding Information: This work was supported by grants from the National Research Foundation of Korea (NRF-2014R1A1A2A16050527, NRF-2015R1A2A1A16074932). Publisher Copyright: {\textcopyright} 2016 IEEE.; 8th International Conference on Ubiquitous and Future Networks, ICUFN 2016 ; Conference date: 05-07-2016 Through 08-07-2016",
year = "2016",
month = aug,
day = "9",
doi = "10.1109/ICUFN.2016.7536986",
language = "English",
series = "International Conference on Ubiquitous and Future Networks, ICUFN",
publisher = "IEEE Computer Society",
pages = "79--81",
booktitle = "ICUFN 2016 - 8th International Conference on Ubiquitous and Future Networks",
}
