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A framework for dynamic network architecture and topology optimization

By Alireza Shams Shafigh, Beatriz Lorenzo, Savo Glisic, Jordi Pérez Romero, Luiz A. DaSilva, Allen B. MacKenzie and Juha Röning


A new paradigm in wireless network access is presented and analyzed. In this concept, certain classes of wireless terminals can be turned temporarily into an access point (AP) anytime while connected to the Internet. This creates a dynamic network architecture (DNA) since the number and location of these APs vary in time. In this paper, we present a framework to optimize different aspects of this architecture. First, the dynamic AP association problem is addressed with the aim to optimize the network by choosing the most convenient APs to provide the quality-of-service (QoS) levels demanded by the users with the minimum cost. Then, an economic model is developed to compensate the users for serving as APs and, thus, augmenting the network resources. The users' security investment is also taken into account in the AP selection. A preclustering process of the DNA is proposed to keep the optimization process feasible in a high dense network. To dynamically reconfigure the optimum topology and adjust it to the traffic variations, a new specific encoding of genetic algorithm (GA) is presented. Numerical results show that GA can provide the optimum topology up to two orders of magnitude faster than exhaustive search for network clusters, and the improvement significantly increases with the cluster size.Peer ReviewedPostprint (author's final draft

Topics: Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors, Computer networks, Access point selection, Economic model, Network optimization, Quality of service (QoS), Security investment, Topology reconfiguration, Traffic dynamics, Ordinadors, Xarxes d'
Year: 2016
DOI identifier: 10.1109/TNET.2014.2383437
OAI identifier:

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