Optimized Opportunistic Routing in Space-Sky Information Network Based on Mesh
Zhenhao Zhang, Nan Xiao, Jun Liang, Weilong Chen, Bo Jin, Lingfeng Sun
Available Online June 2017.
- https://doi.org/10.2991/caai-17.2017.34How to use a DOI?
- space-based backbone network; routing protocol; space-sky information network; mesh network; analytic hierarchy process
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - 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 - https://doi.org/10.2991/caai-17.2017.34 ID - Zhang2017/06 ER -