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     Research Journal of Applied Sciences, Engineering and Technology


Prediction Based Routing With History Based Replication for Disruption Tolerant Network

1K. Suresh and 2P. Ganesh Kumar
1Department of Computer Science and Engineering,
2Department of Information Technology, PSNA College of Engineering and Technology, Dindigul, India
Research Journal of Applied Sciences, Engineering and Technology  2015  1:102-108
http://dx.doi.org/10.19026/rjaset.11.1681  |  © The Author(s) 2015
Received: March ‎7, ‎2015  |  Accepted: March ‎24, ‎2015  |  Published: September 05, 2015

Abstract

A delay and Disruption Tolerant Networking (DTN) is an emerging network, which handles communications in extreme environments, like space communications and networking in sparsely populated areas, vehicular adhoc networks and underwater sensor networking. DTN routing issues may appear as a standard dynamic routing problem with extended link failure times. To offset this, researchers investigated routing based on future contacts prediction, taking advantage of nodes’ mobility history. Routing is performed over time to achieve eventual delivery using long-term storage at intermediate nodes. In DTN, replication is used in DTN flooding strategies and there are many algorithms to manage multiple message copies and to make those copies. This study proposes a prediction based routing with history based simple replication for DTN routing.

Keywords:

Delay and Disruption Tolerant Networking (DTN), flooding, history based replication, prediction based routing, replication,


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Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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