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Effect of receivers densities and manipulation of trasmission data rate on tradeoff between power consumption and bandwidth consumption in OFDM based wireless distributed computing network

机译:基于OFDM的无线分布式计算网络中接收机密度和传输数据速率的控制对功耗和带宽消耗之间权衡的影响。

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Currently huge data rates transmissions and their manipulations are completing by wireless distributed computing (WDC) network, for minimize the time. But by this network, we are unable to save the both power and bandwidth in much manner. These parameters will create critical issues, when wired or wireless media affects by noise, and interference conditions. In this paper, the main objectives are to produce good tradeoff between power consumption, bandwidth consumption and good tradeoff between distributed computing power ratio (DCPR), bandwidth consumption. I propose OFDM based WDC system, to achieve the very less interference and to satisfy the above specified objectives. This paper uses an optimization algorithm, called the particle swarm optimization (PSO). This algorithm gives global optimum solution. The performance of proposed system with an evolutionary algorithm is analyzed using MATLAB simulation.
机译:当前,通过无线分布式计算(WDC)网络正在完成巨大的数据速率传输及其操作,以最大程度地减少时间。但是,通过该网络,我们无法在很多方面节省功率和带宽。当有线或无线媒体受到噪声和干扰条件的影响时,这些参数将产生关键问题。本文的主要目标是在功耗,带宽消耗之间取得良好的权衡,并在分布式计算功率比(DCPR),带宽消耗之间取得良好的权衡。我提出了基于OFDM的WDC系统,以实现非常小的干扰并满足上述指定目标。本文使用一种称为粒子群优化(PSO)的优化算法。该算法给出了全局最优解。利用MATLAB仿真对提出的具有进化算法的系统的性能进行了分析。

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