Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Optimum positioning of base stations for cellular radio networks
Wireless Networks
Numerical Recipes in C++: the art of scientific computing
Numerical Recipes in C++: the art of scientific computing
Optimizing the Placement of Internet TAPs in Wireless Neighborhood Networks
ICNP '04 Proceedings of the 12th IEEE International Conference on Network Protocols
Self-deployment, self-configuration: critical future paradigms for wireless access networks
WAC'04 Proceedings of the First international IFIP conference on Autonomic Communication
IEEE Transactions on Evolutionary Computation
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In environments with highly dynamic user demand, for example in airports, high over-dimensioning of wireless access networks is required to be able to serve high user densities at any possible location in the covered area, resulting in a large number of base stations. This problem is addressed with the novel concept of a self-deploying network. Distributed algorithms are proposed, which autonomously identify the need of changes in position and configuration of wireless access nodes and adapt the network to its environment. It is shown that a self-deploying network can significantly reduce the number of required base stations compared to a conventional statically deployed network. In this paper, this is demonstrated in a specific test scenario at Athens International Airport, simulating a moving user hotspot after the arrival of an airplane.