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In a heterogeneous network such as in DWB-based networks with terminal nodes connected through a directional backbone, the use of the constraint force on all wireless links will have instability effects as a number of links could very rapidly produce very strong attraction forces in different parts of the network, leading to oscillations around an equilibrium configuration.
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Bertoft [ 24] proposed an alternative "two-directional backbone model".
The main challenge in the design of directional wireless backbone (DWB) networks is to assure backbone network requirements such as coverage and connectivity in a dynamic wireless environment.
The main challenge in the design of directional wireless backbone (DWB) networks is to assure robust network performance in a highly dynamic wireless environment.
In [32], Wu et al. developed a notation of directional network backbone by using the directional antenna model, and then formed the problem of constructing a directional CDS (DCDS).
In [7, 8], results were presented showing the effectiveness of our force-driven control approach to morph a directional wireless backbone so as to optimize end-to-end connectivity in dynamic heterogeneous networks.
The first part is to select an IGW location, the second part is to deploy an MR, and the last part is to deploy directional antennas for backbone links.
Note that in the above formulation, the optimization is performed over (1) the assignment of directional wireless links between backbone nodes and (2) the location of the backbone nodes.
Thus, an MR uses either omni-directional or directional antenna for the backbone of the WMN.
Let Pl be the maximum power of all the antennas used in the local network, and PO and Pd, respectively, be the maximum power of an omni-directional and a directional antenna used in the backbone network.
DC can help us evaluate the tradeoff between using directional antennas that increase the backbone capacity or just deploying an MR using omni-directional antenna to save cost while deploying MR. It provides us a vehicle to optimize the cost of the MRP problem indicated in Equation 1.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com