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A WSN tends to be autonomic, an adaptive and distributive algorithm in Wireless Sensor Network is presented based on cellular automata mechanism, which was sourced from the thoughts of automatic breeding in biology. Each node of the Wireless Sensor Network is assumed to be equipped with CA machine, and change its state (active/stand-by) depends on the state of its neighbors. The main objective of...
Research of self-similarity has been the focus of flow prediction due to the complexity of self-similar traffic, but the LRD (long range dependence) traffic has the disadvantages of the high modeling algorithm complexity and poor precision. Therefore we tried to propose a way that can make the LRD traffic change to SRD (short range dependence) which is more simple than LRD in the field of modeling...
In this paper chaos theories are applied to analyze wireless channel, and finds the chaotic characteristic of error bits in wireless channel. A novel and simple wireless discrete channel model - simple chaos (SC) model based on chaotic theories, is introduced and analyzed in detail. Through theoretical analysis and numerical simulation, analysis of the corresponding relationship between the model's...
In this paper, superposition fractal renewal point process (Sup-FRPP) is used to generate fractal traffic. The numerical simulation and analysis results demonstrate that the variation range and relative average degree of fractal of fractal traffic data created by sup-FRPP increase with the increment of Hurst parameter H. The average packet arrival rate, the fractality start-time of the generated traffic,...
In this paper, the self-similarity characteristic of network traffic and its influence on the queuing performance are studied. The network simulator OPNET is applied to build a local wired experimental network and a campus wireless network. The queuing performance of these two kinds of network is analyzed based on the M/P/1 queuing model. The simulation results demonstrate the influence of traffic...
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