Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering

Adaptive Parameter Estimation Based Congestion Avoidance Strategy for DTN

Authors
Qicai Yang, Futong Qin, Jianquan Bi, Qiubo Xu
Corresponding Author
Qicai Yang
Available Online March 2013.
DOI
https://doi.org/10.2991/iccsee.2013.53How to use a DOI?
Keywords
DTN, congestion avoidance, buffer management, packet dropping policy
Abstract
Delay Tolerant Networks are characterized by intermittent connectivity, long delays and often constrained bandwidth. Delay Tolerant Networks often use multi-copy routing schemes for message transmission. Multi-copy routing schemes, such as Epidemic Routing, usually lead to congestion problems. In this paper, we propose an Adaptive Parameter Estimation based congestion Avoidance strategy (APEA) for Delay Tolerant Networks. The APEA strategy includes buffer management policy and packet receiving policy. The buffer management policy is designed for improving the delivery ratio, and the packet receiving policy is designed for reducing the network overhead. The simulation results show that the APEA strategy significantly improves the delivery ratio and reduces the network overhead, compared to the default Drop-First-Received strategy.
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Proceedings
Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering
Part of series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
978-90-78677-61-1
DOI
https://doi.org/10.2991/iccsee.2013.53How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Qicai Yang
AU  - Futong Qin
AU  - Jianquan Bi
AU  - Qiubo Xu
PY  - 2013/03
DA  - 2013/03
TI  - Adaptive Parameter Estimation Based Congestion Avoidance Strategy for DTN
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering
PB  - Atlantis Press
UR  - https://doi.org/10.2991/iccsee.2013.53
DO  - https://doi.org/10.2991/iccsee.2013.53
ID  - Yang2013/03
ER  -