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1. Deployment of a Connected Reinforced Backbone Network with a
Limited Number of Backbone Nodes
Abstract
In recent years, we have witnessed a surge of interest in enabling
communications over meshed wireless networks. Particularly, supporting peer-to-peer
communications over a multihop wireless network has great potential in enabling ubiquitous
computing. However, many wireless nodes have limited capabilities, for example,
sensor nodes or small handheld devices. Also, the end-to-end capacity and delay degrade
significantly as the path length increases with the number of network nodes. In these scenarios,
the deployment of a backbone network could potentially facilitate higher performance
network communications.In this project, we study the novel reinforced backbone network (RBN)
deployment problem considering the practical limitation in
the number of available backbone nodes and enforcing backbone network connectivity. We
propose an iterative and adaptive (ITA) algorithm for efficient backbone network deployment. In
addition, in order to provide the performance bound, we redefine and solve the problem by
implementing the genetic algorithm. Finally, we present our simulation results under various
settings and compare the performance of the proposed ITA algorithm and the genetic algorithm.
Our study indicates that the proposed ITA algorithm is promising for
deploying a connected RBN with a limited number of available backbone nodes.