Improved Message Delivery Scheme for UAVs Tracking the Moving Target

DOI

10.2991/iccia-17.2017.169How to use a DOI?

Keywords

ARIMA-WNN, UAV, message delivery scheme, moving target.

Abstract

Aiming at the special circumstance in which UAVs swarm are used in the mode of battlefield extending, a message delivery scheme called AWJPMMD (ARIMA-WNN Joint Prediction Model based Message Delivery) is proposed. In this scheme, the LET (Link Expiration Time) of the center node and the proxy node is calculated by high precision GPS information, then the LET at next moment is predicted by ARIMA-WNN (Autoregressive Integrated Moving Average model - Wavelet Neural Network) Joint Prediction Model. Finally, the process of message delivery is affected by the predicted value of LET and other parameters. The target information is sent to the UAVs ground station in form of store-and-forward by the message delivery process. Simulation shows that this scheme can provide higher message delivery ratio and this scheme is more stable.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yunlong Yu
AU  - Le Ru
PY  - 2016/07
DA  - 2016/07
TI  - Improved Message Delivery Scheme for UAVs Tracking the Moving Target
BT  - Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
PB  - Atlantis Press
SP  - 963
EP  - 967
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-17.2017.169
DO  - 10.2991/iccia-17.2017.169
ID  - Yu2016/07
ER  -