Proceedings of the 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)

A Buffer Management Strategy based on Message Drop History in DTN Satellite Network

Authors
Li Yang, Shuangjian Chen, Debin Wei
Corresponding Author
Li Yang
Available Online May 2017.
DOI
https://doi.org/10.2991/icmeit-17.2017.123How to use a DOI?
Keywords
Buffer Management, Message Drop History, DTN
Abstract
In order to improve the performance of the DTN network, the DTN network routing algorithm improves the message delivery proportion and reduces the end-to-end delay by increasing the copy of messages. However, a large number of copies of the messages exist in the network, making the congestion of nodes with limited buffer. Therefore, an effective buffer management strategy is essential to improve the efficiency of DTN routing algorithm. In this paper, a buffer management strategy based on the history of message dropping is proposed. By counting the drop time and the number of drop times for each message arriving at their destination node in the message history list, to decide the order of dropping the message. Then, using the OPNET Modeler 14.5 to model the satellite nodes and building LEO satellite network simulation platform for simulation verification. The results show that, compared with other buffer management strategies, the proposed buffer management strategy based on message drop history can significantly improve the delivery proportion and reduce network overhead.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Li Yang
AU  - Shuangjian Chen
AU  - Debin Wei
PY  - 2017/05
DA  - 2017/05
TI  - A Buffer Management Strategy based on Message Drop History in DTN Satellite Network
BT  - Proceedings of the 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)
PB  - Atlantis Press
SP  - 676
EP  - 682
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-17.2017.123
DO  - https://doi.org/10.2991/icmeit-17.2017.123
ID  - Yang2017/05
ER  -