Early wake-up decision algorithm for ONUs in TDM-PONs with sleep mode

Recent IEEE and ITU-T standards for time division multiplexing-passive optical networks (TDM-PONs) with sleep mode recommend that the optical line terminal (OLT) in a TDM-PON should be in charge of invoking the optical network units (ONUs) to move into the sleep state in the absence of frames. It is considered that, upon upstream frame arrival, a sleeping ONU can leave the sleep state, in which an ONU turns off its transmitter or both its transmitter and receiver, immediately, prior to its assigned sleep interval length. In this paper, we refer to this approach as immediate early wake-up (IMEW). According to the standards, the OLT may or may not allow an ONU to trigger an early wake-up function (EWF) upon the upstream frames' arrival. If the OLT does not allow the EWF [we refer to this as not support early wake-up (NSEW)], an ONU should stay in the sleep state during its assigned sleep duration and buffer all the upstream frames while it is in this state. In IMEW, the upstream frames experience a small delay, but the ONU's energy consumption increases remarkably. Conversely, in NSEW, an ONU consumes less energy compared to IMEW at the price of increasing the upstream frame delay and the possibility of having its buffer overflow. In this paper, the limitations of IMEW and NSEW have motivated us to propose a novel early wake-up decision (EWuD) algorithm that aims at meeting the upstream frame delay requirement while reducing the ONUs' energy consumption as much as possible. The role of the EWuD algorithm is to select an appropriate time for triggering EWF, taking into consideration two factors: 1) buffer overflow probability and 2) delay requirement violation of upstream frames. We evaluate EWuD performances using our TDM-PON OPNET modular-based simulation model under a wide range of scenarios. The findings demonstrate that our proposed EWuD can successfully meet the delay requirements of all upstream frames while reducing the ONUs' energy consumption significantly.

[1]  Jun-ichi Kani,et al.  Study and Demonstration of Sleep and Adaptive Link Rate Control Mechanisms for Energy Efficient 10G-EPON , 2010, IEEE/OSA Journal of Optical Communications and Networking.

[2]  I-Shyan Hwang,et al.  A novel dynamic bandwidth allocation mechanism for star-ring-based EPON , 2011 .

[3]  Gyu Myoung Lee,et al.  Performance analysis of TCP traffic and its influence on ONU's energy saving in energy efficient TDM-PON , 2015 .

[4]  Larisa Globa,et al.  Nodal Routing with Traffic Classification , 2011 .

[5]  Noël Crespi,et al.  Evaluating Energy Efficiency of ONUs Having Multiple Power Levels in TDM-PONs , 2013, IEEE Communications Letters.

[6]  Naoki Miura,et al.  Effectiveness of SIEPON package B compliant ONU sleep technique and impact on latency and transmission efficiency from a theoretical point of view , 2014, IEEE/OSA Journal of Optical Communications and Networking.

[7]  Biswanath Mukherjee,et al.  Interleaved Polling with Adaptive Cycle Time (IPACT): A Dynamic Bandwidth Distribution Scheme in an Optical Access Network , 2004, Photonic Network Communications.

[8]  Sukumar Nandi,et al.  Self-Similar Traffic and Buffer Overflow: A Bounded Buffer Allocation Approach , 2009, 2009 Annual IEEE India Conference.

[9]  Yang Xiao,et al.  VoIP over WLAN: voice capacity, admission control, QoS, and MAC , 2006, Int. J. Commun. Syst..

[10]  Nicolas D. Georganas,et al.  Self-Similar Traffic and Upper Bounds to Buffer-Overflow Probability in an ATM Queue , 1998, Perform. Evaluation.

[11]  R. Deepalakshmi,et al.  A Novel Medium Access Control Protocol for Routing Multimedia Traffic in Optical Networks by exploiting Delays with improved Dynamic Bandwidth Allocation , 2011 .

[12]  Luca Valcarenghi,et al.  Sleep Mode for Energy Saving PONs: Advantages and Drawbacks , 2009, 2009 IEEE Globecom Workshops.

[13]  Andrew Tanny Liem,et al.  A SIEPON based transmitter sleep mode energy-efficient mechanism in EPON , 2015 .

[14]  Qian Zhang,et al.  Switching cost minimization in the IEEE 802.16e mobile WiMAX sleep mode operation , 2010, Wirel. Commun. Mob. Comput..

[15]  John A. Schormans,et al.  Bounds on accuracy when estimating the loss probability in a packet buffer , 2015, 2015 7th Computer Science and Electronic Engineering Conference (CEEC).

[16]  Katrina Jessoe,et al.  Utilization and Customer Behavior: Smart Choices for the Smart Grid , 2016 .

[17]  Gyu Myoung Lee,et al.  Energy efficient and latency aware TDM-PON for local customer internetworking , 2015, 2015 IFIP/IEEE International Symposium on Integrated Network Management (IM).

[18]  Noël Crespi,et al.  Adaptive Delay-Aware Energy Efficient TDM-PON , 2013, Comput. Networks.

[19]  I-Shyan Hwang,et al.  Multiple Link Faults Restoration Mechanism in An Enhanced EPON Architecture , .

[20]  Biswanath Mukherjee,et al.  A comparison of dynamic bandwidth allocation for EPON, GPON, and next-generation TDM PON , 2009, IEEE Communications Magazine.

[21]  Su-il Choi Cyclic Polling-Based Dynamic Bandwidth Allocation for Differentiated Classes of Service in Ethernet Passive Optical Networks , 2004, Photonic Network Communications.

[22]  Jun Kyun Choi,et al.  Modeling and simulation of EPON with sleep mode enabled using OPNET , 2014, 2014 International Conference on Information and Communication Technology Convergence (ICTC).

[23]  Qian Zhang,et al.  Switching cost minimization in the IEEE 802.16e mobile WiMAX sleep mode operation , 2009, IWCMC.

[24]  Biswanath Mukherjee,et al.  Energy-efficient PON with sleep-mode ONU: progress, challenges, and solutions , 2012, IEEE Network.

[25]  Ryogo Kubo,et al.  Adaptive Power Saving Mechanism for 10 Gigabit Class PON Systems , 2010, IEICE Trans. Commun..