Research Article
Trajectory and Buffer Aware Message Forwarding for Multiple Cooperating UAVs in Message Ferry Networks
@INPROCEEDINGS{10.1007/978-3-319-74439-1_14, author={Mehdi Harounabadi and Andreas Mitschele-Thiel}, title={Trajectory and Buffer Aware Message Forwarding for Multiple Cooperating UAVs in Message Ferry Networks}, proceedings={Ad Hoc Networks. 9th International Conference, AdHocNets 2017, Niagara Falls, ON, Canada, September 28--29, 2017, Proceedings}, proceedings_a={ADHOCNETS}, year={2018}, month={2}, keywords={Trajectory aware Message forwarding UAV Message ferry}, doi={10.1007/978-3-319-74439-1_14} }- Mehdi Harounabadi
Andreas Mitschele-Thiel
Year: 2018
Trajectory and Buffer Aware Message Forwarding for Multiple Cooperating UAVs in Message Ferry Networks
ADHOCNETS
Springer
DOI: 10.1007/978-3-319-74439-1_14
Abstract
This paper presents a Trajectory and Buffer Aware message Forwarding (TaBAF) scheme in message ferry networks with multiple mobility-controlled UAVs. UAVs are basically message ferries with an on-the-fly mobility decision maker to deliver messages between isolated nodes. Besides, UAVs forward messages opportunistically when they visit each other on-the-air. UAVs have only local observation in our network model and do a signaling with each other when they fly into the radio transmission range of each other. The signaling information are the next node that a UAV will visit and its buffer state. TaBAF applies this information in its message forwarding decision and forwards a message to a neighbor UAV if it can deliver the message earlier. The results show that the TaBAF in message ferry networks outperforms pure message ferry approaches and existing message forwarding schemes in terms of end to end message latency. We showed that the TaBAF decreases the average traveling delay of messages in UAVs and this is the reason for its performance improvement. Moreover, TaBAF decreases average flied distance of each UAV in the network by efficient message forwarding.
