Lagkas, T.D. orcid.org/0000-0002-0749-9794, Lamproudi, A., Sarigiannidis, P. et al. (1 more author) (2015) The impact of mobility patterns on the efficiency of data forwarding in MANETs. In: IEEE International Conference on Communications. IEEE International Conference on Communications ICC2015, 08-12 Jun 2015, London, UK. IEEE , pp. 6037-6042. ISBN 9781467364324
Abstract
One of the most challenging requirements in cutting-edge Mobile Ad hoc Networks is the need for adaptive and efficient routing. Networks capable of adapting their behavior based on current conditions are often characterized as self-organizing networks, which are lately considered very promising for future applications. This work examines the impact of the different mobility properties on the performance of self-organizing networks. For that purpose, a simulator was developed to model different mobility patterns and study the way they affect the effectiveness of the well-known AODV routing protocol. Particularly, this paper focuses on the effect of the different mobility schemes on network topology and consequently to the overall network performance. The results reveal the tight correlations between node mobility characteristics and network metrics.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2015 IEEE. This is an author produced version of a paper subsequently published in Communications (ICC), 2015 IEEE International Conference on. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > International Faculty (Sheffield) > City College - Computer Science |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 17 May 2017 10:46 |
Last Modified: | 19 Dec 2022 13:35 |
Published Version: | https://doi.org/10.1109/ICC.2015.7249284 |
Status: | Published |
Publisher: | IEEE |
Refereed: | Yes |
Identification Number: | 10.1109/ICC.2015.7249284 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:116422 |