A Representative and Accurate Characterization of Inter-contact Times in Mobile Opportunistic Networks
Fecha
Directores
Handle
https://riunet.upv.es/handle/10251/78059
Cita bibliográfica
Hernández Orallo, E.; Cano Escribá, JC.; Tavares De Araujo Cesariny Calafate, CM.; Manzoni, P. (2013). A Representative and Accurate Characterization of Inter-contact Times in Mobile Opportunistic Networks. ACM. https://doi.org/10.1145/2507924.2507936
Titulación
Resumen
A representative characterisation of inter-contact times between
nodes is essential for the performance evaluation of
mobile networks. The most common characterization of
inter-contact times is based on the study of the aggregate
distribution of contacts between individual pairs of nodes.
The problem with this aggregate distribution is that it is not
always representative of the individual pair distributions, especially
in the short term and when the number of nodes in
the network is high. Thus, deriving results from this characterisation,
can lead to inaccurate performance evaluations
results.
In this paper, we propose and evaluate two new methods
for characterising the inter-contact times distribution in mobile
networks. We prove that these characterizations have
a higher representativeness, thereby improving the accuracy
of the derived performance results. For evaluating the precision
of the different characterizations we use the epidemic
routing protocol, which has an analytical performance expression
that is based on a contact rate λ. We derive from
each of the characterizations the corresponding λ values.
Then, we compare the results obtained using the analytical
expression with simulation results using both synthetic
and real contact traces. It is shown that the new characterization
methods are very accurate, even for reduced contact
traces and high number of nodes.
Palabras clave
Mobile networking, Performance evaluation, Inter-contact times
ISSN
ISBN
978-1-4503-2353-6
Fuente
DOI
10.1145/2507924.2507936
Versión del editor
http://dx.doi.org/10.1145/2507924.2507936
dc.description.uri
Patrocinadores
Agradecimientos
This work was partially supported by the Ministerio de Ciencia e Innovación, Spain, under Grant TIN2011-27543-C03-01.