Performance analysis of scale-free communities in ad hoc networks
Date Issued
2009-05-17
Author(s)
Grnarov, Aksenti
Abstract
The underlying user’s social network plays the most
significant part in the distribution of the end-to-end traffic in the
ad hoc network. In this paper we propose a new model for a user
social network based on the scale-free phenomenon and smallworld clustering effect that can be found in the real social
networks. The proposed model is then used for creation of new
traffic and physical movement models in order to investigate the
performances of the ad hoc network. The results point out that
the expected network performances can be much higher than the
ones evaluated using simple random movement and traffic
generators.
significant part in the distribution of the end-to-end traffic in the
ad hoc network. In this paper we propose a new model for a user
social network based on the scale-free phenomenon and smallworld clustering effect that can be found in the real social
networks. The proposed model is then used for creation of new
traffic and physical movement models in order to investigate the
performances of the ad hoc network. The results point out that
the expected network performances can be much higher than the
ones evaluated using simple random movement and traffic
generators.
Subjects
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