Optimized Opportunistic Routing in Space-Sky Information Network Based on Mesh

DOI

10.2991/caai-17.2017.34How to use a DOI?

Keywords

space-based backbone network; routing protocol; space-sky information network; mesh network; analytic hierarchy process

Abstract

Aiming at satisfying the requirement of diversified services and insufficient calculation ability in Space-based backbone Mesh network and solving the problem of not fully considering congestion control, unreliable acknowledgement and different service in requirement of QoS guarantee in the SOAR algorithm, this paper proposed a new opportunistic routing algorithm with reliable joint acknowledge and supporting multi-service. The algorithm defined expected successful transmission count to describe the integral state of links and effectively took the load balancing and link congestion control into consideration. The new algorithm designed an adaptive route selection to support diversified service. It achieved the self-adaptation control between route selection and diversified services. Simulation results show that the algorithm in the paper has better preference in adaptively selecting the best transmission path according to the difference of service. What's more, the algorithm in the paper has better preference in the transmission delay, the throughput and the throughput rate than the SOAR routing algorithm.

Copyright

© 2017, 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  - Zhenhao Zhang
AU  - Nan Xiao
AU  - Jun Liang
AU  - Weilong Chen
AU  - Bo Jin
AU  - Lingfeng Sun
PY  - 2017/06
DA  - 2017/06
TI  - Optimized Opportunistic Routing in Space-Sky Information Network Based on Mesh
BT  - Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)
PB  - Atlantis Press
SP  - 160
EP  - 163
SN  - 1951-6851
UR  - https://doi.org/10.2991/caai-17.2017.34
DO  - 10.2991/caai-17.2017.34
ID  - Zhang2017/06
ER  -