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 |
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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 |
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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