On the effect of cooperation between power saving mechanisms in WLANs and PONs

On the effect of cooperation between power saving mechanisms in WLANs and PONs
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DOI:
10.1109/icc.2013.6655603
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发表时间:
2013-06
期刊:
2013 IEEE International Conference on Communications (ICC)
影响因子:
--
通讯作者:
Ko Togashi;Hiroki Nishiyama;N. Kato;H. Ujikawa;Ken-ichi Suzuki;N. Yoshimoto
Ko Togashi;Hiroki Nishiyama;N. Kato;H. Ujikawa;Ken-ichi Suzuki;N. Yoshimoto
中科院分区:
其他
文献类型:
--
作者:
Ko Togashi;Hiroki Nishiyama;N. Kato;H. Ujikawa;Ken-ichi Suzuki;N. Yoshimoto

文献摘要

相似文献

为了实现环境友好型网络,节能技术至关重要。在由光网络和无线网络组成的光纤无线(FiWi)网络中,存在两种主要的功率节省机制,即功率节省模式(PSM)和光网络单元(ONU)睡眠。PSM工作在无线网络中,ONU睡眠工作在光网络中。这两种机制在FiWi网络中独立工作。由于PSM和ONU睡眠都关闭节点的传输设备以节省能量,因此网络的吞吐量降低。因此,在吞吐量和能量消耗之间存在折衷关系。因此,在讨论这些网络中的能源效率时,考虑到这种关系至关重要。在本文中,我们专注于PSM和ONU睡眠的吞吐量和能耗的影响。我们分析了FiWi网络的能量消耗和吞吐量。通过分析,我们指出了FiWi网络中的能量和吞吐量效率低下,并提出了一种新的方法,确定最佳的ONU睡眠周期和行为,以增加吞吐量,降低能耗。此外,我们通过数值分析验证了我们提出的方法,并确认它提高了吞吐量和能耗。
In order to realize environmentally friendly networks, energy-efficient technologies are essential. In Fiber Wireless (FiWi) networks that consists of optical and wireless networks, there are two main power saving mechanisms, namely, Power Saving Mode (PSM) and Optical Network Unit (ONU) sleep. PSM works in wireless networks, and ONU sleep works in optical networks. These two mechanisms work independently in FiWi networks. Since both PSM and ONU sleep turn off the node's transmission device to save energy, the throughput of the network decreases. Thus, a trade-off relationship between throughput and energy consumption exists. Therefore, taking account of this relationship is essential when discussing energy efficiency in these networks. In this paper, we focus on the effect of PSM and ONU sleep on throughput and energy consumption. We analyze both the energy consumption and the throughput in FiWi networks. Through analysis, we point out energy and throughput inefficiencies in FiWi networks and propose a novel method that determines the optimal ONU sleep period and behavior in order to increase throughput and decrease the energy consumption. Furthermore, we validate our proposed method through numerical analysis, and confirm that it improves both throughput and energy consumption.