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Fig. 13 The duty cycle used at each node in linear network (MQAM) Fig. 14 The delay from each node in linear network to sink (MQAM).
Fig. 22 The duty cycle used at each node in linear network (MPSK) Fig. 23 The delay from each node in linear network to sink (MPSK).
to node 1. Figure 5 Bidirection PNC transmission in linear network.
In linear network, the data is sent to the sink at most via n hops.
The first function was based on the analysis of shortest path in linear network, which was called SPD function.
Theorem 7 is shown that the energy consumption of each node in linear network can be balanced by adjusting the distance between each node.
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The framework allows a complete analysis of the ensemble averaging properties of dropout in linear networks, which is useful to understand the non-linear case.
Though the lower bound on the energy-delay tradeoff is derived in linear networks, it will be shown by simulations in the following Section 6 that this bound is proper for 2-dimensional Poisson distributed networks.
DOI: http://dx.doi.org/10.7554/eLife.01239.009 Local connectivity is insufficient to create localized temporal patterns of activity in linear networks.
Note that in the linear network topology shown in Figure2, node 2 always performs two random exchanges at each time instant n.
The test scenarios of this section are in a linear network that 10 nodes array in a straight line.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com