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In the networks with fewer devices, the performances of three methods are similar; as the node number increases, the differences between the different nodes become more obvious.
The communication between the different nodes follows the standard unit-disc bidirectional communication model.
Bayesian networks are graphic probabilistic models that rely on the interaction between the different nodes to achieve learning for and from every node involved in the process.
According to the IEEE 802.11 standard, the multiple access to the communication medium is based on the contention between the different nodes operating on the same frequency channel.
In this scenario, in order to reproduce the hidden node problem, the distances between the different nodes are configured in such a way that if two nodes belonging to different couples transmit simultaneously, both receiving nodes will not be able to receive the signal of interest successfully.
We consider a single PU receiver (so we can drop the index q) and the channels between the different nodes are characterized by Tr(E[h h H ])=1 and Tr(E[g g H ])=10−3, where h and g denote the channel impulse responses corresponding to the channel frequency responses H and G, respectively; this yields E[|H k |2]=1 and E[|G k |2]=10−3 for k∈{1,…,N}.
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In [3], we found that a CSMA-CA (carrier sense multiple access with collision avoidance) scheme is theoretically suited and sufficient to minimize collisions between the subsequent frames of the different nodes.
If the sinks are positioned as good as possible, the load and nodes are divided between the different sink nodes.
The assessment of price along a value chain is attained by considering the vertical margins, which are the differences between prices at different nodes of the chain and represents the ration of the final price absorbed by the producers, traders, processors and other chain participants (Kirimi et al. 2011).
By removing the nodes, the algorithm increased the number of edges between the different remained nodes.
This distributed computing environment is a middleware whose dynamic properties replicate the behaviour of large data flows, i.e. computing objects migrating between the different computing nodes of a local area network.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com