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Impact of applying realistic mobility models on the performance analysis of internet gateway discovery approaches for mobile ad hoc networks

Impact of applying realistic mobility models on the performance analysis of internet gateway discovery approaches for mobile ad hoc networks

Khurshid, H., Ghassemian, M. and Aghvami, H. (2010) Impact of applying realistic mobility models on the performance analysis of internet gateway discovery approaches for mobile ad hoc networks. In: Innovations in Information Technology. Institute of Electrical and Electronic Engineers, Inc, Piscataway, NJ, USA, pp. 230-235. ISBN 978-1-4244-5698-7 (doi:10.1109/IIT.2009.5413767)

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Abstract

This paper presents an evaluation of IP-based gateway discovery protocols for the interconnection of ad hoc networks to the Internet. There are three proposed internet discovery approaches: reactive, proactive and hybrid. This paper first compares these protocols performances with respect to different frequency of gateway advertisement considering random waypoint mobility model. The main contribution of this work is the study of the effect of applying realistic mobility models which has not been investigated so far in the related published work. Our results investigate the high impact of selected mobility models on the performance analysis of the discovery protocols.

Item Type: Conference Proceedings
Title of Proceedings: Innovations in Information Technology
Additional Information: Proceedings of the International Conference on Innovations in Information Technology, located in Al Ain, which took place between 15-17 December 2009
Uncontrolled Keywords: IP-based gateway discovery protocols reactive, proactive, hybrid, random waypoint mobility model
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Pre-2014 Departments: School of Computing & Mathematical Sciences
Related URLs:
Last Modified: 14 Oct 2016 09:19
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/7816

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