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The experiments were conducted and the experimental results were analyzed according to ranging errors, anchor node density, communication radius, moving speed, and node localization errors.
This figure represents the average number of D2D links by tracing the lines of different parameters, such as user density, communication radius, and request probability.
The localization results of KF, LSSVR, and KF-LSSVR algorithms are compared according to ranging errors, anchor node density, communication radius, moving speed, and node localization errors.
The number of critical/non-critical nodes in a network depends on the node density, communication range, and distribution of nodes.
This subject is currently of considerable interest for optical systems and in the development of high-power millimeter wave amplifiers and its application via high-resolution and imaging radar, high information density communication, NDT, RF sources for the next generation of particle accelerators and fusion experiments.
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Figure 15 Effect of node density and communication range on connectivity during recovery.
The possibility of having non-critical nodes becomes higher with the increased network density and communication range.
In fact, the overhead associated to the broadcasting varies with different network parameters (e.g., node density and communication radius).
Internet-dependent lifeway will greatly increase the diversity and density of communication demands in the next-generation mobile network (5G) [1].
The impact of traffic density and communication range on the average throughput between two vehicles is shown in Fig. 16.
Figure10a,b clearly indicates that the performance of RECRA is not much affected by the change in node density and communication range.
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