Abstract
In high dynamic 3D mobile ad hoc network, the mobility of node is the main factor that causes the topology change and the route instability. In this paper, we proposed a novel geographic forwarding approach based on node mobility features (FBMF) and selection of the relay node via distributed cooperation among receivers for highly dynamic 3D Ad hoc networks. Node mobility features are defined as the mobility factor which considers not only the individual node mobility but also the relative mobility of the other node. The proposed forwarding approach make use of node mobility features to select relay node. Simulation results show that compared with other methods, the proposed approach is more efficient in terms of packet delivery ratio and end-to-end delay, in other words, the stability of route is promoted in the highly dynamic mobile environment.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Cadger, F., Curran, K., Santos, J., Moffett, S.: A survey of geographical routing in wireless Ad-hoc networks. IEEE Commun. Surv. Tutor. 15(2), 621–653 (2013)
Foo, K., Atkins, P., Collins, T., Pointer, S., Tiltman, C.: Sea trials of an underwater, Ad-hoc, acoustic network with stationary assets. IET Radar Sonar Navig. 4(1), 2–16 (2010)
Frew, E., Brown, T.: Airborne communication networks for small unmanned aircraft systems. Proc. IEEE 96(12), 2008–2027 (2008)
Liu, C., Wu, J.: Efficient geometric routing in three dimensional Ad-hoc networks. IEEE INFOCOM 2009, 2751–2755 (2009)
Liu, S., Fevens, T., Abdallah, A.E.: Hybrid position-based routing algorithms for 3D mobile ad hoc networks. In: 2008 The 4th International Conference on Mobile Ad-hoc and Sensor Networks, pp. 177–186, December 2008
Odorizzi, A., Mazzini, G.: M-GeRaF: a reliable random forwarding geographic routing protocol in multisink Ad-hoc and sensor networks. In: 2007 International Symposium on Intelligent Signal Processing and Communication Systems, pp. 416–419, November 2007
Tahan, A.M.A., Watfa, M.K.: A position-based routing algorithm in 3D sensor networks. Wirel. Commun. Mob. Comput. 12(1), 33–52 (2010)
Zheng, B., Zhang, H., Huang, G., Ren, Q.: Status and development of aeronautical Ad-hoc networks. Telecommun. Sci. 27(5), 38–47 (2011)
Zhou, J., Chen, Y., Leong, B., Sundaramoorthy, P.S.: Practical 3D geographic routing for wireless sensor networks. In: Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems, pp. 337–350. ACM (2010)
Zorzi, M., Rao, R.: Geographic random forwarding (GeRaF) for Ad-hoc and sensor networks: energy and latency performance. IEEE Trans. Mob. Comput. 2(4), 349–365 (2003)
Acknowledgment
This work is partially supported by Natural Science Foundation of China under Grant No. 91338108, 91438206.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Gao, X., Zhong, G., Yan, J., Lu, J. (2018). A Geographic Packet Forwarding Approach in 3D Mobile Ad Hoc Networks. In: Long, K., Leung, V., Zhang, H., Feng, Z., Li, Y., Zhang, Z. (eds) 5G for Future Wireless Networks. 5GWN 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 211. Springer, Cham. https://doi.org/10.1007/978-3-319-72823-0_40
Download citation
DOI: https://doi.org/10.1007/978-3-319-72823-0_40
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-72822-3
Online ISBN: 978-3-319-72823-0
eBook Packages: Computer ScienceComputer Science (R0)