Research Article
Optimization of OLSR Protocol in UAV Network
@INPROCEEDINGS{10.1007/978-3-030-69066-3_21, author={Kunqi Hong and Shuo Shi and Xuemai Gu and Ziheng Li}, title={Optimization of OLSR Protocol in UAV Network}, proceedings={Artificial Intelligence for Communications and Networks. Second EAI International Conference, AICON 2020, Virtual Event, December 19-20, 2020, Proceedings}, proceedings_a={AICON}, year={2021}, month={7}, keywords={OLSR HELLO UAV network MPRS End-to-end delay Routing control overhead}, doi={10.1007/978-3-030-69066-3_21} }- Kunqi Hong
Shuo Shi
Xuemai Gu
Ziheng Li
Year: 2021
Optimization of OLSR Protocol in UAV Network
AICON
Springer
DOI: 10.1007/978-3-030-69066-3_21
Abstract
In order to make the OLSR routing protocol more suitable for the self-organizing network of UAVs, this article optimizes the transmission method of HELLO messages and TC packets based on the change of the MPR selection method of the OLSR protocol. In order to adapt to the high dynamics and low density of UAV self-organizing network, the relative moving speed and link transmission quality are taken as the selection criteria of MPRs, so that the stability of MPRs can be improved. At the same time, in order to alleviate the routing overhead and energy problems caused by the increase of HELLO data packets, this article monitors the changes in the network and changes the sending frequency of HELLO messages and TC packets to reduce routing without affecting network updates. The problem of overhead and energy consumption. The network simulation is performed under the PPRZM motion model, and the protocol optimization effect is judged by the comparison of the packet delivery rate, the average end-to-end delay and the routing control overhead.