Proceedings of the 2016 5th International Conference on Advanced Materials and Computer Science

Adaptive redundant message deletion mechanism for opportunistic network

Authors
Yi Xie, Ke Pan, Jinping Lu, Wuyou Li
Corresponding Author
Yi Xie
Available Online June 2016.
DOI
10.2991/icamcs-16.2016.177How to use a DOI?
Keywords
opportunistic network, redundant message deletion, acknowledge message, message density.
Abstract

The flooding method is utilized to forward the acknowledge message to delete the redundant copies of message. As a result, lots of network resources will be consumed by this kind of operation. A novel message deletion mechanism is proposed in this paper. Taking into account the hop count of ACK message, historical forwarding status and regional message density, the ACK message is forwarded to the nodes in the network with the distributed manner to remove the redundant copies of message reasonably. Simulation results show that the redundant copies of message can be deleted with less ACK message by the proposed mechanism; moreover, the network performance can be improved obviously.

Copyright
© 2016, 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/).

Download article (PDF)

Volume Title
Proceedings of the 2016 5th International Conference on Advanced Materials and Computer Science
Series
Advances in Engineering Research
Publication Date
June 2016
ISBN
10.2991/icamcs-16.2016.177
ISSN
2352-5401
DOI
10.2991/icamcs-16.2016.177How to use a DOI?
Copyright
© 2016, 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/).

Cite this article

TY  - CONF
AU  - Yi Xie
AU  - Ke Pan
AU  - Jinping Lu
AU  - Wuyou Li
PY  - 2016/06
DA  - 2016/06
TI  - Adaptive redundant message deletion mechanism for opportunistic network
BT  - Proceedings of the 2016 5th International Conference on Advanced Materials and Computer Science
PB  - Atlantis Press
SP  - 870
EP  - 874
SN  - 2352-5401
UR  - https://doi.org/10.2991/icamcs-16.2016.177
DO  - 10.2991/icamcs-16.2016.177
ID  - Xie2016/06
ER  -