Summary
International Conference on Emerging Technologies for Communications
2023
Session Number:P2
Session:
Number:P2-16
Power-saving performance evaluation of the adaptive Deep Sleep enabled PON based on applications and PON management system linkage operation
Takahiro Ishiyama, Takashi Kurimoto, Satoru Okamoto, Yamanaka Naoaki,
pp.-
Publication Date:2023/11/29
Online ISSN:2188-5079
Summary:
The surge in network equipment power consumption due to increased communication traffic is a pressing issue. The access network, accounting for 80% of total power usage, offers a key area for energy reduction. Deep sleep is a method for achieving significant power savings in Passive Optical Network (PON), which are widely used as one form of access network. However, during the period when the Optical Network Unit (ONU) is in Deep Sleep, the application is unable to communicate, thus creating a problem of immediate communication.We have proposed a method for determining the suitable sleep mode and sleep time for PON connected to Internet of Things (IoT) applications that perform periodic communication, in which the IoT application and the PON system cooperate. In this paper, we evaluate the power-saving performance of a PON system in which a sleep time-adaptive Deep Sleep mechanism based on the linkage between the application and the PON management system can be applied to simulations.