A Greedy Optimization Algorithm Based on QoS in UAV Cluster Network

DOI

10.2991/ncce-18.2018.38How to use a DOI?

Keywords

UAV network, routing hole, Quality of Service, node criterion.

Abstract

Due to the strong mobility of nodes, the possibility and randomness of network holes were increasing in UAV network, and the limited energy-carrying capacity of nodes leads to the limitation of cruising ability. The general geographic assistant routing protocols often failed to satisfy demand in the network. A greedy optimization algorithm based on Quality of Service (QoS) was proposed in this paper. The mechanism set segment points based on the route forwarding strategy, in order to optimize the detour path part, and guarantees to response the existing network holes or optimize a new network hole duly. Considering the actual situation of the stability of the UAV communication links and the limited energy-carrying capacity, comprehensive criteria based on QoS was provided for selection of nodes according to the actual application requirements. The simulation shows that compared with the GPSR algorithm and BOPF algorithm the algorithm can optimize the transmission path, reduce end-to-end delay, and improve the performance of the network.

Copyright

© 2018, 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  - Wei Fu
AU  - Xinli Zhou
PY  - 2018/05
DA  - 2018/05
TI  - A Greedy Optimization Algorithm Based on QoS in UAV Cluster Network
BT  - Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)
PB  - Atlantis Press
SP  - 241
EP  - 249
SN  - 1951-6851
UR  - https://doi.org/10.2991/ncce-18.2018.38
DO  - 10.2991/ncce-18.2018.38
ID  - Fu2018/05
ER  -