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For instance, channel assignment problem in wireless network is often addressed by modelling the network as directed graph [6], [7, Section III-A-1], and [8].
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Even greater insight about the behavior of heterogeneous communication networks can be obtained by modeling the network as nodes interconnected with non-convex springs.
To facilitate this, we introduce a self-organizing mechanism and assess it by modeling the network as a queue that allows both classes of user to wait in a queue to access the channel modeled as a server.
They apply their method to biochemical networks by modeling the network as a time discrete finite dynamical system, which is obtained by discretizing the concentration levels of the interacting chemicals to elements of a finite field.
The topology of interactions in a biological network is often studied by modeling the network as a graph, which allows the use of established algorithms and metrics such as shortest path analysis [ 1] and betweenness centrality [ 2].
These guys approach the problem by modelling the future evolution of cellular networks and terrestrial TV broadcasting in Sweden.
By modelling the movement of mRNAs on this network, we also show that this MT organisation is sufficient to explain the localisation of oskar and naive bicoid mRNA.
By modeling the power distribution network as a three-dimensional mesh, the error due to ignoring via and local interconnect resistances is quantified.
We modelled the network system by employing a scale-free network of coupled phase oscillators.
In particular, the spreading of a transmissible disease can be studied by modeling the population as a network of individuals, in which an edge is placed between two individuals if there is the possibility of transmission between them.
We address this issue by modeling the optimization of the composite network and the prediction problems within a unified objective function.
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