Proceedings of the 2016 International Conference on Communications, Information Management and Network Security

UAV 3D Mobility Model Based on Density Change Product

Authors
Rui Wang, Nan Di, Na Wang, Fangxin Liu, Qiuli Chen
Corresponding Author
Rui Wang
Available Online September 2016.
DOI
10.2991/cimns-16.2016.67How to use a DOI?
Keywords
component; airborne; node mobility; visit density; density change product; GMM
Abstract

The network performance of UAV airborne is closely relied on the movement of the mobile nodes which is decided by the mobility mode. And the selection of mobility model and its parameters is of great significance to the simulation results. Based on the three-dimensional Gauss Markova mobility model (3D-GMM), this paper expand GM by using visit density and the changeable trend, and propose a new three-dimensional Gauss Markova mobility model based on density change product (3D-DGMM). The results show that 3D_DGMM can simulate the movement of UAVs well and have higher event capture rate compared to 3D-GMM.

Copyright
© 2016, 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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Volume Title
Proceedings of the 2016 International Conference on Communications, Information Management and Network Security
Series
Advances in Computer Science Research
Publication Date
September 2016
ISBN
10.2991/cimns-16.2016.67
ISSN
2352-538X
DOI
10.2991/cimns-16.2016.67How to use a DOI?
Copyright
© 2016, 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/).

Cite this article

TY  - CONF
AU  - Rui Wang
AU  - Nan Di
AU  - Na Wang
AU  - Fangxin Liu
AU  - Qiuli Chen
PY  - 2016/09
DA  - 2016/09
TI  - UAV 3D Mobility Model Based on Density Change Product
BT  - Proceedings of the 2016 International Conference on Communications, Information Management and Network Security
PB  - Atlantis Press
SP  - 266
EP  - 270
SN  - 2352-538X
UR  - https://doi.org/10.2991/cimns-16.2016.67
DO  - 10.2991/cimns-16.2016.67
ID  - Wang2016/09
ER  -