Energy-efficient Sleep-mode Operations for Broadband Wireless Access Systems You-Lin Chen and Shiao-Li Tsao Department of Computer Science, National Chiao.

Slides:



Advertisements
Similar presentations
A 2 -MAC: An Adaptive, Anycast MAC Protocol for Wireless Sensor Networks Hwee-Xian TAN and Mun Choon CHAN Department of Computer Science, School of Computing.
Advertisements

Min Song 1, Yanxiao Zhao 1, Jun Wang 1, E. K. Park 2 1 Old Dominion University, USA 2 University of Missouri at Kansas City, USA IEEE ICC 2009 A High Throughput.
An Adaptive Energy-Efficient MAC Protocol for Wireless Sensor Network
EXPLORING POWER SAVING IN VOIP WIRELESS LINKS BY BHANUREDDY BATTAPURAM AND SRINIVAS MADLAPELLI.
Presented by Santhi Priya Eda Vinutha Rumale.  Introduction  Approaches  Video Streaming Traffic Model  QOS in WiMAX  Video Traffic Classification.
1 “Multiplexing Live Video Streams & Voice with Data over a High Capacity Packet Switched Wireless Network” Spyros Psychis, Polychronis Koutsakis and Michael.
CAC and Scheduling Schemes for Real-time Video Applications in IEEE Networks Ou Yang UR 10/11/2006.
Performance Evaluation of the IEEE MAC for QoS Support Aemen Hassaan Lodhi Multimedia Communications Project (Spring )
A serve flow management strategy for IEEE BWA system in TDD mode Hsin-Hsien Liu
Ncue-csie1 A QoS Guaranteed Multipolling Scheme for Voice Traffic in IEEE Wireless LANs Der-Jiunn Deng 、 Chong-Shuo Fan 、 Chao-Yang Lin Speaker:
1 Token Bucket Based CAC and Packet Scheduling for IEEE Broadband Wireless Access Networks Chi-Hung Chiang
1 QoS Schemes for IEEE Wireless LAN – An Evaluation by Anders Lindgren, Andreas Almquist and Olov Schelen Presented by Tony Sung, 10 th Feburary.
Pipelined Two Step Iterative Matching Algorithms for CIOQ Crossbar Switches Deng Pan and Yuanyuan Yang State University of New York, Stony Brook.
The QoS of WiMAX. Outline Introduction Connections & Service flows Classifier & Scheduler Scheduling services Handover.
Adaptive Waiting Time Threshold Estimation Algorithm for Power Saving in Sleep Mode of IEEE e Khyati Sanghvi, Piyush Kumar Jain, Debabrata Das International.
Enhanced power efficient sleep mode operation for IEEE e based WiMAX Shengqing Zhu, and Tianlei Wang IEEE Mobile WiMAX Symposium, 2007 IEEE Mobile.
Advanced Mechanisms for Sleep Mode Optimization of VoIP Traffic over IEEE m IEEE Globecom 2010 Ritesh K. Kalle, Maruti Gupta, Aran Bergman, Elad.
2015/10/1 A color-theory-based energy efficient routing algorithm for mobile wireless sensor networks Tai-Jung Chang, Kuochen Wang, Yi-Ling Hsieh Department.
Chia-Yu Yu 1, Sherali Zeadally 2, Naveen Chilamkurti 3, Ce-Kuen Shieh 1 1 Institute of Computer Communication Engineering and Department of Electrical.
1 An Adaptive Energy-Efficient and Low-Latency MAC for Data Gathering in Wireless Sensor Network Gang Lu, Bhaskar Krishnamachari, and Cauligi Raghavendra.
Hao Chen, Guoliang Yao, Hao Liu National ASIC System Engineering Research Center Southeast University WICOM 2008.
A Power Saving MAC Protocol for Wireless Networks Technical Report July 2002 Eun-Sun Jung Texas A&M University, College Station Nitin H. Vaidya University.
Chun Nie, Thanasis Korakis, and Shivendra Panwar Department of Electrical and Computer Engineering, Polytechnic University, Brooklyn A Multi-hop Polling.
Energy-Saving Scheduling in IEEE e Networks Chia-Yen Lin, and Hsi-Lu Chao Department of Computer Science National Chiao Tung University.
Optimal Selection of Power Saving Classes in IEEE e Lei Kong, Danny H.K. Tsang Department of Electronic and Computer Engineering Hong Kong University.
Robust QoS Control for Single Carrier PMP Mode IEEE Systems Authors: Xiaofeng Bai, Abdallah Shami, and Yinghua Ye Published: IEEE TMC April 2008.
Maximizing Unavailability Interval for Energy Saving in IEEE e Wireless MANs Tuan-Che Chen ( 陳端哲 ), Ying-Yu Chen ( 陳盈佑 ), and Jyh-Cheng Chen ( 陳志成.
An optimal power-saving class II for VoIP traffic and its performance evaluations in IEEE e JungRyun Lee School of Electrical and Electronics Eng,Chung-Ang.
Utility Maximization for Delay Constrained QoS in Wireless I-Hong Hou P.R. Kumar University of Illinois, Urbana-Champaign 1 /23.
Smart Merging Strategy for Configuring Power Saving Parameters in IEEE Mobile WMANs Shiann-Tsong Sheu, Chih-Cheng Yang, Shao-Jung Lu Department.
A Delay-aware Auto Sleep Mode Operation for Power Saving WiMAX 1 Shengqing Zhu, 1 Xiaoyu Ma, and 2 Lujian Wang ( 南京大學. 計算機科學 ) ( 浙江大學城市學院. 信息工程 ) 1 Department.
A Downlink Data Region Allocation Algorithm for IEEE e OFDMA
An Energy-Efficient MAC Protocol for Wireless Sensor Networks Qingchun Ren and Qilian Liang Department of Electrical Engineering, University of Texas at.
Uplink Scheduling with Quality of Service in IEEE Networks Juliana Freitag and Nelson L. S. da Fonseca State University of Campinas, Sao Paulo,
1 The Design of the Power Saving Mechanisms in IEEE e Networks (Defense) Student: Lei Yan ( 嚴雷 ) Advisor: Dr. Ho-Ting Wu ( 吳和庭 ) Date: 2009/07/23.
Self Organization and Energy Efficient TDMA MAC Protocol by Wake Up for Wireless Sensor Networks Zhihui Chen and Ashfaq Khokhar ECE Department, University.
A Novel APSD Scheduler for WLAN IEEE e COMMUNICATION SYSTEMS, NETWORKS AND DIGITAL SIGNAL PROCESSING University of Lecce Speaker: Sebastiano Elia.
Energy-Efficient PON with Sleep- Mode ONU Progress, Challenges, and Solutions Speaker: Shieh-Chieh Chien Advisor: Dr. Ho-Tin Wu 2013/09/23 1.
A Wakeup Scheme for Sensor Networks: Achieving Balance between Energy Saving and End-to-end Delay Xue Yang, Nitin H.Vaidya Department of Electrical and.
1 An Adaptive Energy-Efficient MAC Protocol for Wireless Sensor Networks Tijs van Dam, Koen Langendoen In ACM SenSys /1/2005 Hong-Shi Wang.
A Throughput-Adaptive MAC Protocol for Wireless Sensor Networks Zuo Luo, Liu Danpu, Ma Yan, Wu Huarui Beijing University of Posts and Telecommunications.
Yuan-Cheng Lai and Yen-Hung Chen Department of Information Management National Taiwan University of Science and Technology AINA 2008 Accept rate: 2008.
Cross-Layer Scheduling for Power Efficiency in Wireless Sensor Networks Mihail L. Sichitiu Department of Electrical and Computer Engineering North Carolina.
Delivery ratio-maximized wakeup scheduling for ultra-low duty-cycled WSNs under real-time constraints Fei Yang, Isabelle Augé-Blum National Institute of.
Hybrid Power Saving Mechanism for VoIP Services with Silence Suppression in IEEE e Systems Hyun-Ho Choi, Jung-Ryun Lee, and Dong-Ho Cho IEEE Communications.
BOUNDS ON QOS- CONSTRAINED ENERGY SAVINGS IN CELLULAR ACCESS NETWORKS WITH SLEEP MODES - Sushant Bhardwaj.
Utilization Based Duty Cycle Tuning MAC Protocol for Wireless Sensor Networks Shih-Hsien Yang, Hung-Wei Tseng, Eric Hsiao-Kuang Wu, and Gen-Huey Chen Computer.
Quality of Service Schemes for IEEE Wireless LANs-An Evaluation 主講人 : 黃政偉.
Mitigating starvation in Wireless Ad hoc Networks: Multi-channel MAC and Power Control Adviser : Frank, Yeong-Sung Lin Presented by Shin-Yao Chen.
1 Energy-efficient Sleep- mode Operations for Broadband Wireless Access Systems You-Lin Chen and Shiao-Li Tsao IEEE 64th Vehicular Technology Conference,
1 A Cross-Layer Scheduling Algorithm With QoS Support in Wireless Networks Qingwen Liu, Student Member, IEEE, Xin Wang, Member, IEEE, and Georgios B. Giannakis,
An Energy Efficient Sleep Scheduling Considering QoS Diversity for IEEE e Wireless Networks Speaker: Wun-Cheng Li IEEE ICC 2010 Jen-Jee Chen, Jia-Ming.
A Cooperative ONU Sleep Method for Reducing Latency and Energy Consumption of STA in Smart-FiWi Networks Speaker: Chia-Chih Chien Advisor: Dr. Ho-Ting.
A Cluster Based On-demand Multi- Channel MAC Protocol for Wireless Multimedia Sensor Network Cheng Li1, Pu Wang1, Hsiao-Hwa Chen2, and Mohsen Guizani3.
On Exploiting Diversity and Spatial Reuse in Relay-enabled Wireless Networks Karthikeyan Sundaresan, and Sampath Rangarajan Broadband and Mobile Networking,
1 Grid-Based Access Scheduling for Mobile Data Intensive Sensor Networks C.-K. Lin, V. Zadorozhny and P. Krishnamurthy IEEE International Conference on.
Fair and Efficient multihop Scheduling Algorithm for IEEE BWA Systems Daehyon Kim and Aura Ganz International Conference on Broadband Networks 2005.
On Mobile Sink Node for Target Tracking in Wireless Sensor Networks Thanh Hai Trinh and Hee Yong Youn Pervasive Computing and Communications Workshops(PerComW'07)
Multicast Polling and Efficient VoIP Connections in IEEE Networks Olli Alanen Telecommunication Laboratory Department of Mathematical Information.
Dynamic Bandwidth Quasi- reservation Scheme for Real- time Services in IEEE e Networks Yin Ge,and Geng-Sheng Kuo IEEE Wireless Communications and.
Document Number: Date Submitted: Source: Venue: Base Contribution: Purpose: Notice: This document does not represent the agreed views of the IEEE
Cooperative Adaptive Partner Selection for Real-Time Services in IEEE j Multihop Relay Networks Cheng-Kuan Hsieh, Jyh-Cheng Chen, Jeng-Feng Weng.
TOWARDS ENERGY EFFICIENT VOIP OVER WIRELESS LANS VINOD NAMBOODIRI, LIXIN GAO. ACM MOBIHOC Youngbin Im
Performance Evaluation of Scheduling in IEEE based Wireless Mesh Networks Bo Han, Weijia Jia,and Lidong Lin Computer Communications, 2007 Mei-zhen.
MAC Protocols for Sensor Networks
SENSYS Presented by Cheolki Lee
Dusit Niyato, Student Member, IEEE Ekram Hossain, Senior Member, IEEE
MR2RP: The Multi-Rate and Multi-Range Routing Protocol for IEEE 802
Presentation transcript:

Energy-efficient Sleep-mode Operations for Broadband Wireless Access Systems You-Lin Chen and Shiao-Li Tsao Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan, R.O.C {youlin,

Outline Introduction e sleep mode operations Energy-efficient schedulers for sleep mode operations ◦ Periodic on-off scheme (PS) ◦ Aperiodic on-off scheme (AS) Simulation results Conclusions

Introduction Broadband wireless access systems usually provide sleep-mode operations for mobile stations to conserve energy during idle modes The wireless mobile devices are normally battery-operated ◦ the energy-efficiency is an important issue

Introduction The IEEE e offers several sleep-mode classes that can be applied to mobile subscriber stations to reduce their power consumptions for different applications An IEEE e MS can switch to sleep mode to save power ◦ sleep period : BS buffer incoming packets ◦ listen period : BS send queued packet to MS

Introduction An MS should try to stay in sleep periods as much as possible to conserve its energy In this study, two scheduling schemes for sleep- mode operations are presented to maximize sleep periods of an MS while the QoSs of connections on the MS can be also guaranteed

802.16e sleep mode operations Parameters are negotiated by an MS and a BS ◦ The time to sleep / listen ◦ The length of each period MS try to stay in sleep period as much as possible

802.16e sleep mode operations The first class ◦ It is recommended for BE or NRT-VR service

802.16e sleep mode operations The second class ◦ It is recommended for UGS or RT-VR service

802.16e sleep mode operations The third class ◦ It is recommended for multicast connections or management operations

802.16e sleep mode operations If an MS establishes multiple connections, the actual sleep periods are determined by the sleep- mode operations associated with all connections

Energy-efficient schedulers for sleep mode operations The sleep and listen periods must be in unit of an OFDM frame If the resources are available, the BS can group the data that should be delivered in a number of OFDM frames and schedule them into a single frame to an MS

Energy-efficient schedulers for sleep mode operations In this work, only sleep-mode scheduling schemes for an MS with multiple real-time connections are considered

Periodic On-Off Scheme (PS) Let an MS sleep for a fixed period and then listen for a fixed period in a round-robin basis The PS groups the packets and schedules them in the less number of OFDM frames The PS also achieves the QoS of all connections

Periodic On-Off Scheme N S : the number of OFDM frames in a sleep period N A : the number of OFDM frames in a listen period T frame : the length of an OFDM frame B frame : BS can supply the max resources in an OFDM frame D i : delay constraint PS i : average packet size for connection i TI i : average inter packet arrive time for connection i

Periodic On-Off Scheme P avg : average power consumption P S : power consumption during sleep mode P A : power consumption during listen mode

Aperiodic On-Off Scheme (AS) The AS schedules resource to an MS and make the OFDM frame be fully used Step 1. sort all connections on an MS based on their delay constraint Step 2. assign priority to connections Step 3. schedule all connections

Aperiodic On-Off Scheme

Simulation results Simulations are conducted to evaluate the power consumption of an MS in terms of the number of listen and sleep frames

Simulation results Loose / tight delay constraint Length of OFDM frame is 5 ms Maximal data rate the BS provided is 1600 kbps

Simulation results Percentage of sleep periods of an MS

Simulation results Average packet delays

Simulation results Percentage of sleep periods of an MS under the tight delay constraint

Conclusions Two scheduling schemes for sleep-mode operations were proposed They minimize the power consumption of an MS while the QoSs of connections on the MS are also guaranteed