Measuring efficiency in opportunistic ad hoc networks

Journal article


Smith, Anthony and Hill, Richard 2011. Measuring efficiency in opportunistic ad hoc networks. Journal of Interconnection Networks. https://doi.org/10.1142/S0219265911002940
AuthorsSmith, Anthony and Hill, Richard
Abstract

Opportunistic Networks are examples of wireless, ad hoc networks where there is an absence of a continuous end-to-end path. The proliferation of mobile device usage creates opportunities for nodes to forward packets in a dynamic way, utilizing nodes as they present themselves. In more conventional, static network infrastructures, it is typical to measure efficiency of message passing between nodes. We review approaches to the measurement of efficiency in networks, and propose a qualitative and quantitative metrics framework and simulation model that would be suitable for the evaluation of performance in opportunistic networks.

Opportunistic Networks are examples of wireless, ad hoc networks where there is an absence of a
continuous end-to-end path. The proliferation of mobile device usage creates opportunities for nodes to forward packets in a dynamic way, utilizing nodes as they present themselves. In more conventional, static network infrastructures, it is typical to measure efficiency of message passing between nodes. We review approaches to the measurement of efficiency in networks, and propose a
qualitative and quantitative metrics framework and simulation model that would be suitable for the evaluation of performance in opportunistic networks.

KeywordsAd hoc networks; Opportunistic networks; MANETs; Metric
Year2011
JournalJournal of Interconnection Networks
ISSN0219-2659
1793-6713
Digital Object Identifier (DOI)https://doi.org/10.1142/S0219265911002940
Web address (URL)http://hdl.handle.net/10545/292935
hdl:10545/292935
Publication dates30 Nov 2011
Publication process dates
Deposited28 May 2013, 15:07
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Archived with thanks to Journal of Interconnection Networks

ContributorsUniversity of Derby and University of Derby, Distributed and Intelligent Systems Research Group
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