Optimizing Energy Efficiencies of IoT-based Wireless Sensor Network Components for Metaverse Sustainable Development using Carry Resist Adder based Booth Recoder (CRABRA)

C. Kumar. J, M. Majid
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引用次数: 1

Abstract

Wireless sensing is now the spine of diverse Internet of Things (IoT) applications. In the Metaverse, the Internet of Things (IoT) can offer wireless and seamlessly integrated immersive digital experiences. Because the Metaverse's enabling technologies are considered to be energy-hungry, questions have been raised concerning the sustainability of its widespread adoption and development. IoT-based wireless sensor networks (WSN) readings are contaminated and distorted by noise. The noise in the signal causes the sensor node's (SN) computations and power consumption to rise, shortening the sensor node's longevity. To reduce noise, an efficient technique is therefore crucial. Finite-impulse response (FIR) filter is commonly employed in IoT-based WSN as a signal pre-processing stage in eliminating noise from the sensor measurements. The multiplication operation's number of adders (logic operators) and the adder steps (logic depths) determine the hardware complexities of FIR filters. The speed of the related application is determined by the multiplier's speed. By reducing the partial product (PP) row, the Booth method speeds up multiplication. The coefficients used by R8BR are ±0,±1 ,±2,±3,and ±4. As a result of the formation of odd multiples ±3, there will be a delay. The adder is required to add ±1 and ±2 for its calculations. This slowdown the multiplication procedures and reduces the recoding performance. To reduce the delay brought on by the creation of odd multiples, a carry resists adder (CRA) is used. CRA was explicitly built to achieve adding of ±2 and ±1 without carry propagation. Theoretically, it is observed that the CRA minimizes delay to 86.26% compared to carry propagation adder (CPA) approaches. Additionally, compared to a typical R8BR multiplier, the experimental findings indicated delay, area, and power reductions of 48.98%, 56.66%, and 31.2%, respectively. Without carry propagating, the CRA does addition faster, with less energy, and occupies less area.
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基于携带抗加法的Booth Recoder (CRABRA)优化基于物联网的无线传感器网络组件的能源效率,以实现元宇宙可持续发展
无线传感现在是各种物联网(IoT)应用的支柱。在虚拟世界中,物联网(IoT)可以提供无线和无缝集成的沉浸式数字体验。由于Metaverse的支持技术被认为是耗能巨大的,人们对其广泛采用和发展的可持续性提出了质疑。基于物联网的无线传感器网络(WSN)的读数受到噪声的污染和扭曲。信号中的噪声会增加传感器节点的SN计算量和功耗,缩短传感器节点的使用寿命。因此,为了降低噪声,一种有效的技术是至关重要的。有限脉冲响应(FIR)滤波器通常用于基于物联网的WSN,作为消除传感器测量噪声的信号预处理阶段。乘法运算的加法器数量(逻辑运算符)和加法器步骤(逻辑深度)决定了FIR滤波器的硬件复杂性。相关应用程序的速度由乘法器的速度决定。通过减少偏积(PP)行,布斯法加快了乘法。R8BR使用的系数为±0、±1、±2、±3、±4。由于形成奇数倍±3,会有延迟。加法器需要加±1和±2进行计算。这减慢了乘法过程并降低了重编码性能。为了减少奇倍数产生带来的延迟,使用了抗进位加法器(CRA)。明确地建立了CRA,以实现±2和±1的相加而不进行进位传播。理论上,观察到与携带传播加法器(CPA)方法相比,CRA将延迟最小化至86.26%。此外,与典型的R8BR乘法器相比,实验结果表明,延迟、面积和功耗分别降低了48.98%、56.66%和31.2%。没有进位传播,CRA的加法速度更快,能量更少,占用面积更小。
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