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However, the over-constrained condition on the links of a TPM may produce a non-uniform friction force due to imperfect link assembly.
Figure 1 informs our experimental design: at budgets where perfect link prediction yields no advantage over random seeding, imperfect link prediction cannot possibly provide value to the planner.
In this paper, we examine the network lifetime of several localized tree construction schemes by incorporating the communication overhead due to imperfect link quality.
Given such high budgets, random seeding performs extremely well and imperfect link information appears to provide almost no advantage even when (p_{text {neg}}) is very low.
Given the myriad obstacles to obtaining perfectly accurate network topology, how does imperfect link prediction impact efforts to optimize network seeding?
In the third paper, "Determining localized tree construction schemes based on sensor network lifetime," Lee et al. study the network lifetime of different localized data gathering tree formation algorithms by considering the communication overhead due to imperfect link quality.
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Such imperfect linking results in bias when individuals are ranked, which is very important in for example educational settings (e.g. pass/fail decisions on a test or determining the final class rank).
In addition, due to imperfect feedback link, the feedback delay of CSI about the first link is also considered. Figure 1 System model.
Moreover, [19, 20] did not allow for the possibility of imperfect communication links between nodes and the fusion center.
For example, through considering the imperfect communication links between plant and filter, the authors in [19] designed a fault-detection filter to ensure stochastic stability of residual systems.
Reliable synchronization is one of the key factors determining the transmission performance in communication channels, and various schemes for time, frequency, and phase estimation for imperfect communication links have been proposed and implemented.
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