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The Impact of Dynamic Scaling on Energy Consumption at Node Level in Wireless Sensor Networks

机译:动态缩放对无线传感器网络节点电平能耗的影响

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Energy efficiency is one of the critical issues in Wireless Sensor Networks (WSNs) due to limited capacity of batteries of its sensor nodes. This paper investigates the impact of dynamic scaling of parameters such as modulation scheme, voltage or frequency which reduces energy consumption of sensor node. The performance is evaluated mathematically for scaling of voltage and frequency dynamically. This approach is used to dynamically adjust frequency and voltage of processing unit according to actual system load to save computational power without degrading its performance. We focused on the fact that energy consumed by wireless sensor node is the product of power consumed and the time for any operating mode, the reduction in the value of either parameter such as voltage, frequency and varying modulation scheme may result in saving of huge energy. The impact of various modulation schemes at different frequency bands and operating modes on energy consumption of sensor node is evaluated using QUALNET 6.01 Simulator.
机译:由于其传感器节点的电池容量有限,能量效率是无线传感器网络(WSNS)中的关键问题。本文调查了降低传感器节点能量消耗等调制方案,电压或频率等参数的影响。数在数学上进行评估,以便动态地进行电压和频率。这种方法用于根据实际系统负载动态调节处理单元的频率和电压,以节省计算能力而不会降低其性能。我们专注于无线传感器节点消耗的能量是消耗的功率乘积以及任何操作模式的时间,诸如电压,频率和变化的调制方案的任一参数值的减小可能导致巨大的能量。使用Qualnet 6.01模拟器评估各种调制方案在不同频带处的影响和传感器节点能量消耗的操作模式。

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