TY - GEN
T1 - Devising geographic diffusion for drone networks
AU - Lee, Jiyeon
AU - Kim, Kangho
AU - Kim, Hyunsoon
AU - Kim, Hwangnam
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/8/9
Y1 - 2016/8/9
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84983354539&partnerID=8YFLogxK
U2 - 10.1109/ICUFN.2016.7536985
DO - 10.1109/ICUFN.2016.7536985
M3 - Conference contribution
AN - SCOPUS:84983354539
T3 - International Conference on Ubiquitous and Future Networks, ICUFN
SP - 7
EP - 78
BT - ICUFN 2016 - 8th International Conference on Ubiquitous and Future Networks
PB - IEEE Computer Society
T2 - 8th International Conference on Ubiquitous and Future Networks, ICUFN 2016
Y2 - 5 July 2016 through 8 July 2016
ER -
