利用Netsims研究能源收集对绿色物联网的影响

Mohd Nabil Iqbal Bin Ahmad, Aznida Abu Bakar Sajak, Mohd Nazri Ismail, Noormadinah Allias
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引用次数: 0

摘要

由于无线传感器网络(wsn)的使用,诸如栖息地监测、空气质量、自然灾害预防、智能农业和智能建筑等现实应用成为可能。然而,在大多数情况下,传统的WSN节点是由能量存储容量有限的不可充电电池驱动的。本文提出了一种在无线传感器网络中实现太阳能收集的方法,以增加每个传感器节点的寿命。理想情况下,该实现还可以实现无限的生命周期。然而,在太阳能收集中还有许多其他障碍需要克服和考虑,例如温度波动、太阳能电池板转换效率、太阳能预测困难、电力中断以及其他环境或自然现象问题。因此,本研究的目的是回顾最近关于无线传感器网络能量收集的文献,重点是太阳能环境光能。利用NETSIM模拟,本研究的目标是通过太阳能收集实现无线传感器网络的可靠性和能源效率。
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An Investigation on the Impact of Energy Harvesting in Green IoT with Netsims
Real-world applications such as habitat monitoring, air quality, natural disaster prevention, smart agriculture, and smart building are possible due to the utilization of Wireless Sensor Networks (WSNs). However, in most cases, classic WSN nodes are fueled by non-rechargeable batteries with a limited capacity for energy storage. In this paper, a solar energy harvesting implementation is proposed in a wireless sensor network to increase the lifetime of each sensor node. The implementation may also ideally achieve an infinite lifetime. Nevertheless, there are many other obstacles to overcome and consider in solar energy harvestings, such as temperature fluctuations, solar panel conversion efficiency, solar energy forecasting difficulties, power interruptions, and other environmental or natural phenomenon issues. Therefore, the objective of this research is to review the recent literature on energy harvesting for wireless sensor networks focusing on solar ambient light energy. Using NETSIM simulations, the goal of this investigation would be to achieve reliability and energy efficiency in wireless sensor networks through solar energy harvesting.
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