In this paper, we propose a new Fuzzy-Logic Adaptive Queuing controller (FLAQ) based on a classical Random Early Detection (RED) algorithm in wireless cellular network. The controller predicts dynamically the packet dropping rate and the corresponding average queue length. It relies on the average queue length at the base station router and the packet loss rate caused by the channel variations in mobile environment; assuming there is no buffer overflow due to the congestion. Using this model, a heuristic TCP performance can be estimated over a time-varying channel under different conditions of user's mobility. The results show a significant improvement in TCP throughput performance when the user's mobility is below 5 m/s; and becomes constant (i.e., close to i.i.d) beyond this speed especially at 5% of predefined packet error rate.
Wireless sensor networks take great importance in recent years according to their potential applications in different areas like health monitoring, military applications, tactile system and industrial applications. In this paper the decentralized sensing with noise and band limited channel between the sensor nodes and merging stations (fusion center) for different levels of power is analyzed. The evolution of the system performance is based on the considering the wireless sensor network with direct sequence-code division multiple access (DS-CDMA) for varying levels of power. The achieved results indicate the performance is improved with employing the direct sequence-code division multiple accesses (DS-CDMA).In the situation of large sensor systems and random spreading, the decentralized detection execution is derived supposition independent and identically distributed sensor observation via random matrix theory.
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