Lujie Yan
ABSTRACT
The high mobility of drone nodes leads to frequent changes in network topology, serious impact on the performance of drone networking, choosing relay nodes randomly for message forwarding can affect the reliability of the link. This paper proposes a drone relay node selection algorithm based on location prediction. According to the Kalman filter, the position of the next node is predicted; Then the link holding time is calculated, so as to select the optimal drone relay node. This article conducts simulations based on the MATLAB platform, The results show that the position prediction algorithm based on Kalman filtering significantly improves the reliability of the link calculation compared to randomly selecting relay nodes and EXT-AODV.
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Index Terms
- Optimal Relay Algorithm for Unmanned Aerial Vehicles Based on Location Prediction
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