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is computed based on the maximum network delay from the source to all the receivers.
According to results from the comparison chart of the three types of data stream in the cascaded topology, we can get that the actual delay of the simulation statistical results fully meets the maximum network delay obtained by network calculus, and it also verifies that the TTE simulation results are reasonable.
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Furthermore, the designed filter enables the filtering error dynamic system to be stochastic stability and to achieve a prescribed performance, and the relationships between the stability criteria and the maximum network-induced delays of hybrid wired wireless networks, the event-triggered parameters and the system performance parameter are established.
Several conflicting objectives such as monetary cost, network delay, and maximum number of hops have to be optimized to achieve a desirable solution.
Recently, [8] studied the performance of maximum likelihood estimators corresponding to symmetric Gaussian (GML) and exponential (EML) network delay distributions.
CLC_DGS_DD provides a flexible framework for adjusting delays among different flows, and thereby achieves as low as order-optimal delays for preferential flows while simultaneously guaranteeing maximum network utility.
Several objectives of data aggregation have been pursued according to the diverse requirements of applications, such as energy efficiency [4, 5], maximum network lifetime [6, 7], maximum quality of aggregation [8, 9], and minimum delay [10 12].
Based on the analysis, the maximum allowable delay bound is predicted and unrealistic force feedback caused by the network delay is compensated.
While the traditional Capacitated Minimum Spanning Tree (CMST) problem deals with only traffic capacity constraint of a port of a source node, and Delay-Constrained Minimum Spanning Tree (DCMST) considers only the maximum end-to-end delay constraint, the DC-CMST problem deals with mean network delay and traffic capacity constraints simultaneously.
The overall network delay with an average of 2.25 milliseconds leads to an average response time of 4.89 milliseconds and a maximum response time of 206 milliseconds on client side.
Fig. 8 Network delay.
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