Adaptive Waiting Time Threshold Estimation Algorithm for Power Saving in Sleep Mode of IEEE 802.16e Khyati Sanghvi, Piyush Kumar Jain, Debabrata Das International.

Slides:



Advertisements
Similar presentations
Doc.: IEEE /0338r1 Submission March 2012 Hung-Yu Wei, National Taiwan UniversitySlide 1 DeepSleep: Power Saving Mode to Support a Large Number.
Advertisements

Reducing Network Energy Consumption via Sleeping and Rate- Adaption Sergiu Nedevschi, Lucian Popa, Gianluca Iannaccone, Sylvia Ratnasamy, David Wetherall.
SoNIC: Classifying Interference in Sensor Networks Frederik Hermans et al. Uppsala University, Sweden IPSN 2013 Presenter: Jeffrey.
A Centralized Scheduling Algorithm based on Multi-path Routing in WiMax Mesh Network Yang Cao, Zhimin Liu and Yi Yang International Conference on Wireless.
SELECT: Self-Learning Collision Avoidance for Wireless Networks Chun-Cheng Chen, Eunsoo, Seo, Hwangnam Kim, and Haiyun Luo Department of Computer Science,
EXPLORING POWER SAVING IN VOIP WIRELESS LINKS BY BHANUREDDY BATTAPURAM AND SRINIVAS MADLAPELLI.
Sleep States in IEEE ax Simulation Scenarios
PEDS September 18, 2006 Power Efficient System for Sensor Networks1 S. Coleri, A. Puri and P. Varaiya UC Berkeley Eighth IEEE International Symposium on.
Data-Centric Energy Efficient Scheduling for Densely Deployed Sensor Networks IEEE Communications Society 2004 Chi Ma, Ming Ma and Yuanyuan Yang.
1 Token Bucket Based CAC and Packet Scheduling for IEEE Broadband Wireless Access Networks Chi-Hung Chiang
Submission doc.: IEEE /0103r0 January 2015 Jarkko Kneckt, NokiaSlide 1 Power Save Calibration Date: Authors:
WiseMAC: An Ultra Low Power MAC Protocol for the Downlink of Infrastructure Wireless Sensor Networks Presented by Angel Pagan November 27, 2007 A. El-Hoiydi.
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.
Stochastic sleep scheduling (SSS) for large scale wireless sensor networks Yaxiong Zhao Jie Wu Computer and Information Sciences Temple University.
Sleep Mode Considerations for a Device-Based Power Saving Document Number: S80216m-08_580 Date Submitted: Source: Mamadou Kone
Scheduling in IEEE e Mobile WiMAX Networks-Key Issues and a Survey 報告者 : 李宗穎 IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. 27, NO. 2, FEBRUARY.
Performance Analysis of an innovative scheduling algorithm for OFDMA based IEEE a systems E. Baccarelli, M.Biagi, C.Pelizzoni, N.Cordeschi This work.
AN ENERGY CONSUMPTION ANALYTIC MODEL FOR WIRELESS SENSOR MAC PROTOCOL ERIC MAKITA SEPTEMBRE
An Adaptive Deficit-based Scheduler for IEEE e Networks Nararat RUANGCHAIJATUPON and Yusheng JI The Graduate University for Advanced Studies National.
Fair Class-Based Downlink Scheduling with Revenue Considerations in Next Generation Broadband wireless Access Systems Bader Al-Manthari, Member, IEEE,
Maximum Network Lifetime in Wireless Sensor Networks with Adjustable Sensing Ranges Cardei, M.; Jie Wu; Mingming Lu; Pervaiz, M.O.; Wireless And Mobile.
QUALCOMM PROPRIETARY QUALCOMM Corporate R & D1 Performance of VoIP Services over 3GPP WCDMA Networks Ozcan Ozturk Qualcomm.
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.
UNIVERSITY COLLEGE DUBLIN Adaptive Radio Modes in Sensor Networks: How Deep to Sleep? SECON 2008 San Francisco, CA June 17, 2008 Raja Jurdak Antonio Ruzzelli.
An Energy Efficient MAC Protocol for Wireless LANs Eun-Sun Jung Nitin H. Vaidya IEEE INFCOM 2002 Speaker :王智敏 研二.
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.
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.
Vertical Optimization Of Data Transmission For Mobile Wireless Terminals MICHAEL METHFESSEL, KAI F. DOMBROWSKI, PETER LANGENDORFER, HORST FRANKENFELDT,
Minimizing Energy Consumption in Sensor Networks Using a Wakeup Radio Matthew J. Miller and Nitin H. Vaidya IEEE WCNC March 25, 2004.
An Energy-Efficient MAC Protocol for Wireless Sensor Networks Qingchun Ren and Qilian Liang Department of Electrical Engineering, University of Texas at.
Wireless communications and mobile computing conference, p.p , July 2011.
IEEE VTC 2010 Optimal Layered Video IPTV Multicast Streaming over IEEE e WiMAX Systems Po-Han Wu, Yu Hen Hu *, Jenq-Neng Hwang University of Washington.
A Joint Bandwidth Allocation and Routing Scheme for the IEEE 802
Overload Prediction Based on Delay in Wireless OFDMA Systems E. O. Lucena, F. R. M. Lima, W. C. Freitas Jr and F. R. P. Cavalcanti Federal University of.
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.
A Novel APSD Scheduler for WLAN IEEE e COMMUNICATION SYSTEMS, NETWORKS AND DIGITAL SIGNAL PROCESSING University of Lecce Speaker: Sebastiano Elia.
Multi-Power-Level Energy Saving Management for Passive Optical Networks Speaker: Chia-Chih Chien Advisor: Dr. Ho-Ting Wu Date: 2015/03/25 1.
An Energy Efficient MAC Protocol for Wireless LANs, E.-S. Jung and N.H. Vaidya, INFOCOM 2002, June 2002 吳豐州.
Data Scheduling for Multi-item and transactional Requests in On-demand Broadcast Nitin Pabhu Vijay Kumar MDM 2005.
SEA-MAC: A Simple Energy Aware MAC Protocol for Wireless Sensor Networks for Environmental Monitoring Applications By: Miguel A. Erazo and Yi Qian International.
Hard Handoff Scheme Exploiting Uplink and Downlink Signals in IEEE e Systems Sunghyun Cho, Jonghyung Kwun, Chihyun Park, Jung-Hoon Cheon, Ok-Seon.
Yuan-Cheng Lai and Yen-Hung Chen Department of Information Management National Taiwan University of Science and Technology AINA 2008 Accept rate: 2008.
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.
Doc.:IEEE /0114r0 January 2012 Low Power Medium Access Date: Slide 1 Authors:
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,
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.
Energy-efficient Sleep-mode Operations for Broadband Wireless Access Systems You-Lin Chen and Shiao-Li Tsao Department of Computer Science, National Chiao.
A Bandwidth Scheduling Algorithm Based on Minimum Interference Traffic in Mesh Mode Xu-Yajing, Li-ZhiTao, Zhong-XiuFang and Xu-HuiMin International Conference.
Performance Evaluation of the IEEE MAC for QoS Claudio Cicconetti, Alessandro Erta, Luciano Lenzini, and Enzo Mingozzi IEEE Transactions On Mobile.
Dynamic Bandwidth Quasi- reservation Scheme for Real- time Services in IEEE e Networks Yin Ge,and Geng-Sheng Kuo IEEE Wireless Communications and.
TOWARDS ENERGY EFFICIENT VOIP OVER WIRELESS LANS VINOD NAMBOODIRI, LIXIN GAO. ACM MOBIHOC Youngbin Im
A Method for Non-real-time Polling Service in IEEE Wireless Access Networks + Jing Wu, + Jeonghoon Mo, and * Ting Wang + Information and Communications.
Performance Evaluation of Scheduling in IEEE based Wireless Mesh Networks Bo Han, Weijia Jia,and Lidong Lin Computer Communications, 2007 Mei-zhen.
New Distributed QoS Control Scheme for IEEE Wireless Access Networks Xiaofeng Bai 1, Abdallah Shami 1, Khalim Amjad Meerja 1 and Chadi Assi 2 1.
PMAC: An adaptive energy-efficient MAC protocol for WSNs
Mathilde Benveniste Avaya Labs
Sleep States in IEEE ax Simulation Scenarios
Vijay Srinivasan Thomas Phan
Analysis and Evaluation of a New MAC Protocol
Dusit Niyato, Student Member, IEEE Ekram Hossain, Senior Member, IEEE
DeepSleep: Power Saving Mode to Support a Large Number of Devices
ADVISOR : Professor Yeong-Sung Lin STUDENT : Hung-Shi Wang
Presentation transcript:

Adaptive Waiting Time Threshold Estimation Algorithm for Power Saving in Sleep Mode of IEEE e Khyati Sanghvi, Piyush Kumar Jain, Debabrata Das International Institute of Information Technology, India Abhijit Lele Motorola India Research Labs, Bangalore, India IEEE International Conference on Communication System Software and Middleware (COMSWA 2008)

Outline Introduction Proposed Algorithm Example Analytical Model Simulation Conclusion

Introduction Portable mobile devices are characterized by limited compute capacity and energy availability. Sleep mode is a key feature introduced in IEEE e standard, which ensures power-efficient operation of battery operated mobile devices.

Introduction – e sleep mode operations Power Saving Class of Type I Power Saving Class of Type II Power Saving Class of Type III … T S_init (Initial sleep window) 2 x T S_init TLTL 4 x T S_init T S_max Incoming packet TLTL TSTS Incoming packets … TSTS normal operation sleep windows listening windows MOB_TRF-IND

Motivation TRF-IND(-)TRF-IND(+) Wake mode Frame no Listening window In PSC of type I, The e standard does not define when to take decision to trigger sleep mode. Packet arrival times in non real time traffic are unpredictable. 4 DL Data arrival DL Sleeping Period Active Period REQREP MS BS Waiting time threshold? REQREP …

Motivation Waiting time threshold – MSS wait for longer duration before switching to sleep mode at low traffic, leading to less sleep duration. – MSS wait for lower duration before switching to sleep mode at high traffic, leading to frequent sleep–active transitions.

Motivation Waiting time threshold – MSS wait for longer duration before switching to sleep mode at low traffic, leading to less sleep duration. – MSS wait for lower duration before switching to sleep mode at high traffic, leading to frequent sleep–active transitions. Frame no. 4 MS longer Waiting time threshold longer TRF-IND(+) DL Frame no. 4 MS Waiting time threshold longer TRF-IND(+) DL Sleeping Period

Motivation Waiting time threshold – MSS wait for longer duration before switching to sleep mode at low traffic, leading to less sleep duration. – MSS wait for lower duration before switching to sleep mode at high traffic, leading to frequent sleep–active transitions. Frame no. 4 MS W TRF-IND(+) DL Frame no. 4 MS Waiting time threshold longer TRF-IND(+) DL TRF-IND(+) W DL Active Period

Goal This paper proposes a novel algorithm for estimating optimum waiting time threshold to reduce the energy consumption.

Definitions Sleeping Period Active Period Sleeping Period MS SLSLAWAWREQSLSL … S: Sleep Window L: listening window A: Packets serving W: Waiting time duration T th : Waiting time threshold REQ : REQ/RSP message change T th REQ

Example Sleeping PeriodActive Period MS SLSLAW TRF-IND(+) DL UL T th T th_min is minimum limit of waiting time threshold. REQ

Example Active Period SLSLAW TRF-IND(+) DL A UL MS REQ Sleeping Period The MS will enter packet serving duration immediately

Example Active Period SLSLAW TRF-IND(+) DL A UL W T th MS REQ Sleeping Period When packet serving time is over, the Ms will estimate waiting time duration

Example A W β is a constant with unit sec -1. λ new is new arrival rate, λ n is weighted arrival rate after n th packet arrival, λ n-1 is weighted arrival rate after (n-1) th packet arrival AW DL UL REQSLSL T th

Example Active Period SLSLAW TRF-IND(+) DL A UL W Sleeping Period REQSLS T th MS REQ Sleeping Period The MS will wait the estimated waiting time duration

Valid Example A UL WREQSLSL T th TRF-IND(+) AW DL β = α = /100 1/ ms ms REQSL A …

Valid Example A W T th W AW DL UL A 1/100 1/ β = α = ms 20 ms

Analytical Model Case 1: When UL or DL MAP arrives at MSS during waiting time threshold duration Case 2: When UL MAP is present at MSS for transmission during n th sleep interval while there is no DL frame arrival at BS for MSS Case 3: When DL MAP arrives at BS for MSS during n th sleep interval while there is no UL frame present at MSS Case 4 When UL frame is present at MSS for transmission with at least one DL frame arrival at BS for the MSS in the nth sleep interval Active Period Sleeping Period LAWAWREQSLSL … CASE 1CASE 2CASE 3CASE 4

Definitions AWAWREQS1LS2L … λ = mean arrival rate λd = mean downlink arrival rate λu = mean uplink arrival rate t t = arrival time of UL or DL frame t n = sleep interval during n-th sleep cycle S i = total sleep and listening interval till the i-th sleep cycle Tth_mean = mean waiting time threshold Ei = energy consumption for case i where i= {1, 2, 3, 4} Di = average delay in transmission of DL frame at BS for MSS due to MSS being in sleep mode for case i where i={1, 2, 3, 4} E th = energy consumption at MSS during waiting time threshold E s = energy consumption at MSS during sleep mode E = total energy consumption at MSS D = total average delay at MSS Tint_mean = mean inter arrival time DL/UL MAP

Case 1: When UL or DL MAP arrives at MSS during waiting time threshold duration Sleeping Period AWREQS1LS2L … DL / UL MAP t Tth_mean t n = 0

Case 1: When UL or DL MAP arrives at MSS during waiting time threshold duration Sleeping Period REQS1LS2L … AW Tth_mean DL / UL MAP t t n = 0

Case 2: When UL MAP is present at MSS for transmission during n th sleep interval while there is no DL frame arrival at BS for MSS Sn AWREQS1LS2 … UL MAP t Sn-1 tntn L

Sn AWREQS1LS2 … UL MAP t Sn-1 tntn L

Case 3: When DL MAP arrives at BS for MSS during n th sleep interval while there is no UL frame present at MSS Sleeping Period AWREQS1LS2L … DL MAP

Case 3: When DL MAP arrives at BS for MSS during n th sleep interval while there is no UL frame present at MSS Sleeping Period AWREQS1LS2L … DL MAP

Case 4 When UL frame is present at MSS for transmission with at least one DL frame arrival at BS for the MSS in the n th sleep interval Sleeping Period AWREQS1LS2L … UL MAPDL MAP

Case 4 When UL frame is present at MSS for transmission with at least one DL frame arrival at BS for the MSS in the n th sleep interval Sleeping Period AWREQS1LS2L … UL MAPDL MAP

Analytical Model Active Period Sleeping Period AWREQS1LS2L … CASE 1CASE 2CASE 3CASE 4

Simulation We have validated our simulation model with published simulation results performed on NS2 platform. The total simulation time is 400 sec and results are obtained by taking average value of 100 samples of traffic sequence for each arrival rate λ. Mean arrival rate λ varies from 0.05 to 1.0. One frame duration= 5ms α = 0.01, β = 4.865, listening duration L = 5ms, initial sleep duration tmin = 10ms and maximum sleep duration tmax = 160ms

Simulation Energy consumption values for waiting time threshold duration and sleep duration is taken as Eth = 280mw and Es= 10mw, respectively Furthermore, fixed waiting time threshold for existing algorithm is taken as Tth = 25ms and proposed algorithm uses minimum waiting time threshold Tth_min = 5ms and maximum waiting time threshold Tth_max = 50ms. In case- I the ratio of DL versus UL traffic is taken as R = 4 where R = λd / λu In case- II the ratio of DL versus UL traffic is taken as R = 1/4 where R = λ d / λu.

Simulation

Conclusion This paper attempts to modify the existing constant waiting time threshold scheme by making it adaptive to the varying downlink and uplink traffic pattern. We observe that traffic arrival pattern is an important factor for the waiting time threshold control.