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Download Computer Networks: 22nd International Conference, CN 2015, by Piotr Gaj, Andrzej Kwiecień, Piotr Stera PDF

By Piotr Gaj, Andrzej Kwiecień, Piotr Stera

This publication constitutes the completely refereed lawsuits of the 22st overseas convention on machine Networks, CN 2015, held in Brunów, Poland, in June 2015. The forty two revised complete papers provided have been rigorously reviewed and chosen from seventy nine submissions. The papers in those court cases conceal the subsequent themes: desktop networks, disbursed desktops, communications and teleinformatics.

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Extra info for Computer Networks: 22nd International Conference, CN 2015, Brunów, Poland, June 16-19, 2015. Proceedings

Example text

The datasets contains different subsets of network protocols. Table 1 gives a summary description of the IITiS traffic data analyzed in the paper. Table 1. 09 TCP (unrec. 03 UDP (unrec. 01 Estimating the Intensity of Long-Range Dependence 17 Fig. 2. Variance-time (left) and R-S (right) plots (IITiS trace) There are many methods of estimating this parameter. In order to estimate the true values of the Hurst parameter we used in our works five estimators: – – – – – aggregate variance method, R-S Plot, method based on periodogram, local Whittle’s estimator, Wavelet based method.

Placzek Fig. 5. The utilization of sensor sij energy using algorithms: LEACH-C (a), MTE (b), PEGASIS (c) caused by large number of AP working within analyzed building – up to 100. In the worst case scenario for Algorithm 1’, when no AP is available, the nodes will work similarly like without-LF algorithm and broadcast its positions. The previous research showed that utilization of energy in sensors are uneven [23], therefore the further research was performed to find optimal routing algorithm for proposed WSN network.

036 As can be seen the MMPP model is more inconsistent than the fGn model (see Table 4). 20 J. Doma´ nska et al. Table 4. 009 6 Conclusions The article confirms that although the Hurst parameter is well defined mathematically, it is problematic to measure it properly [35]. There are several methods to estimate the Hurst parameter but they often produce conflicting results [2]. Many researchers conclude that wavelet technique generally is faring well in comparative studies [31,35]. Our results demonstrate the best agreement among the estimators results in the case of fGn model.

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