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  1. NTU Theses and Dissertations Repository
  2. 電機資訊學院
  3. 電機工程學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/64985
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dc.contributor.advisor魏宏宇
dc.contributor.authorHsiang-Ho Linen
dc.contributor.author林庠和zh_TW
dc.date.accessioned2021-06-16T23:12:12Z-
dc.date.available2012-08-10
dc.date.copyright2012-08-10
dc.date.issued2012
dc.date.submitted2012-08-03
dc.identifier.citation[1] J. Nuffer and T. Bein, “Applications of piezoelectric materials in transportation,” in TRANSFAC, 2006.
[2] W. Ye, J. Heidemann, and D. Estrin, “An energy-efficient mac protocol for wireless sensor networks,” in INFOCOM 2002. Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings. IEEE, 2002.
[3] T. van Dam and K. Langendoen, “An adaptive energy-efficient mac protocol for wireless sensor networks,” in Proceedings of the 1st international conference on Embedded networked sensor systems, ser. SenSys ’03, 2003.
[4] Y. Sun, O. Gurewitz, and D. B. Johnson, “Ri-mac: a receiver-initiated asynchronous duty cycle mac protocol for dynamic traffic loads in wireless sensor networks,” in Proceedings of the 6th ACM conference on Embedded network sensor systems, ser. SenSys ’08, 2008.
[5] L. Tang, Y. Sun, O. Gurewitz, and D. B. Johnson, “Pw-mac: An energy-efficient predictive-wakeup mac protocol for wireless sensor networks,” in INFOCOM, 2011 Proceedings IEEE, april 2011.
[6] S. Biswas and S. Datta, “Reducing overhearing energy in 802.11 networks by low- power interface idling,” in 2004 IEEE International Conference on Performance, Computing, and Communications, 2004.
[7] J. W. Lee, W. S. Jeon, and D. G. Jeong, “Power saving with p-persistent sleep deci- sion for ubiquitous mobile communications,” in Vehicular Technology Conference, 2006. VTC 2006-Spring. IEEE 63rd, 2006.
[8] Y. He and R. Yuan, “A novel scheduled power saving mechanism for 802.11 wireless lans,” IEEE Transactions on Mobile Computing, 2009.
[9] Z. Zeng, Y. Gao, and P. Kumar, “Sofa: A sleep-optimal fair-attention scheduler for the power-saving mode of wlans,” in 2011 31st International Conference on Distributed Computing Systems (ICDCS), 2011.
[10] S. Romaszko and C. Blondia, “Neighbour and energy-aware contention avoidance mac protocol for wireless ad hoc networks,” in IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, 2006. (WiMob’2006)., june 2006.
[11] S. Gobriel, R. Melhem, and D. Moss, “Blam: an energy-aware mac layer enhancement for wireless adhoc networks,” in Wireless Communications and Networking Conference, 2005 IEEE, 2005.
[12] D. Niyato, E. Hossain, M. Rashid, and V. Bhargava, “Wireless sensor networks with energy harvesting technologies: a game-theoretic approach to optimal energy management,” Wireless Communications, IEEE, vol. 14, no. 4, pp. 90 –96, august 2007.
[13] M. Tacca, P. Monti, and A. Fumagalli, “Cooperative and reliable arq protocols for energy harvesting wireless sensor nodes,” IEEE Transactions on Wireless Communications, vol. 6, no. 7, pp. 2519 –2529, july 2007.
[14] C. Murthy, “Power management and data rate maximization in wireless energy harvesting sensors,” in PIMRC 2008. IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications, 2008., sept. 2008, pp. 1 –5.
[15] J. Lei, R.Yates, and L. Greenstein, “A generic model for optimizing single-hop transmission policy of replenishable sensors,” IEEE Transactions on Wireless Communications, vol. 8, no. 2, pp. 547 –551, feb. 2009.
[16] B. Medepally and N. Mehta, “Voluntary energy harvesting relays and selection in cooperative wireless networks,” IEEE Transactions on Wireless Communications, vol. 9, no. 11, pp. 3543 –3553, november 2010.
[17] V. Sharma, U. Mukherji, V. Joseph, and S. Gupta, “Optimal energy management policies for energy harvesting sensor nodes,” IEEE Transactions on Wireless Communications, vol. 9, no. 4, pp. 1326 –1336, april 2010.
[18] V. Joseph, V. Sharma, and U. Mukherji, “Optimal sleep-wake policies for an energy harvesting sensor node,” in IEEE International Conference on Communications, 2009. ICC ’09., june 2009, pp. 1 –6.
[19] C. K. Ho, P. D. Khoa, and P. C. Ming, “Markovian models for harvested energy in wireless communications,” in 2010 IEEE International Conference on Communication Systems (ICCS), nov. 2010, pp. 311 –315.
[20] D. Niyato, E. Hossain, and A. Fallahi, “Sleep and wakeup strategies in solar- powered wireless sensor/mesh networks: Performance analysis and optimization,” IEEE Transactions on Mobile Computing, vol. 6, no. 2, pp. 221 –236, feb. 2007.
[21] A. Seyedi and B. Sikdar, “Energy efficient transmission strategies for body sensor networks with energy harvesting,” IEEE Transactions on Communications, vol. 58, no. 7, pp. 2116 –2126, july 2010.
[22] A. Kansal, J. Hsu, S. Zahedi, and M. B. Srivastava, “Power management in energy harvesting sensor networks,” ACM Trans. Embed. Comput. Syst., vol. 6, no. 4, Sep. 2007.
[23] C. Vigorito, D. Ganesan, and A. Barto, “Adaptive control of duty cycling in energy- harvesting wireless sensor networks,” in 4th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, 2007. SECON ’07., june 2007, pp. 21 –30.
[24] Z. A. Eu, H.-P. Tan, and W. K. G. Seah, “Design and performance analysis of mac schemes for wireless sensor networks powered by ambient energy harvesting,” Ad Hoc Netw., vol. 9, no. 3, pp. 300–323, May 2011.
[25] H.-P. Tan, P. Lee, W. Seah, and Z. A. Eu, “Impact of power control in wireless sensor networks powered by ambient energy harvesting (wsn-heap) for railroad health monitoring,” in International Conference on Advanced Information Networking and Applications Workshops, 2009. WAINA ’09., may 2009, pp. 804 –809.
[26] O. Ozel, J. Yang, and S. Ulukus, “Broadcasting with a battery limited energy harvesting rechargeable transmitter,” in 2011 International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt), may 2011, pp. 205 –212.
[27] J. Yang and S. Ulukus, “Optimal packet scheduling in a multiple access channel with rechargeable nodes,” in 2011 IEEE International Conference on Communications (ICC), june 2011, pp. 1 –5.
[28] P. Zhang, C. M. Sadler, S. A. Lyon, and M. Martonosi, “Hardware design experiences in zebranet,” in Proceedings of the 2nd international conference on Embedded networked sensor systems, ser. SenSys ’04. New York, NY, USA: ACM, 2004, pp. 227–238.
[29] P. Dutta, J. Hui, J. Jeong, S. Kim, C. Sharp, J. Taneja, G. Tolle, K. Whitehouse, and D. Culler, “Trio: enabling sustainable and scalable outdoor wireless sensor network deployments,” in The Fifth International Conference on Information Processing in Sensor Networks, 2006. IPSN 2006., 0-0 2006, pp. 407 –415.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/64985-
dc.description.abstractAs future Machine-to-Machine (M2M) communications aiming at supporting wireless networks with large coverage and device number, energy-efficient M2M communication design becomes important. To deploy an M2M network which can operate permanently, a large number of M2M devices will be powered by energy harvesting module, which is an emerging technology by which M2M devices can harvest energy from external sources, instead of being powered by batteries. Our research focuses on enhancing WiFi-based communications with energy-harvesting power source, as IEEE 802.11ah sub 1 GHz operation is promising for M2M services. In this paper, we propose DeepSleep, which is designed to support the network in which energy-harvesting devices are widely deployed. The objective of DeepSleep is to reduce the overall outage probability, packet loss rate, delay time and amend energy-efficiency. In this proposed scheme, a low-power device, which has been stayed in sleep mode for a long time, will have higher channel access priority when it wakes up. These devices will have less energy wastage on idle listening and overhearing and go back to sleep mode sooner. In addition, the channel access fairness is also considered. Our simulation results using NS-2 platform demonstrate the effectiveness of the proposed scheme.en
dc.description.provenanceMade available in DSpace on 2021-06-16T23:12:12Z (GMT). No. of bitstreams: 1
ntu-101-R99921027-1.pdf: 696902 bytes, checksum: 2b0dc4254687974a23a55ba99463fa98 (MD5)
Previous issue date: 2012
en
dc.description.tableofcontentsMaster Thesis Certification by Oral Defense Committee i
Chinese Abstract ii
Abstract iii
1 Introduction 1
2 Related Work 4
2.1 Energy-Saving MAC Protocols 4
2.2 IEEE 802.11 Protocols 4
2.3 Energy-Harvesting 6
3 IEEE 802.11 PSM Background 8
4 IEEE 802.11 Baseline Scheme and Problem Formulation 10
4.1 IEEE 802.11 Baseline Scheme 10
4.2 Problem Formulation 12
5 DeepSleep Scheme 14
5.1 Energy-Aware Deep Sleeping 15
5.2 DeepSleep with Controlled Access 18
6 Performance Evaluation 20
6.1 Simulation Setup 20
6.2 802.11 Baseline Scheme Performance Evaluation 21
6.3 DeepSleep Performance without Controlled Access 22
6.4 Controlled Access Performance Evaluation 28
6.5 Co-existence with 802.11 33
7 Conclusion 40
Bibliography 42
dc.language.isoen
dc.subject省電模式zh_TW
dc.subject機器對機器通訊zh_TW
dc.subject能量收集zh_TW
dc.subject802.11ahzh_TW
dc.subjectenergy-harvestingen
dc.subject802.11ahen
dc.subjectM2M communicationsen
dc.subjectpower saving modeen
dc.titleDeepSleep: 對能量收集特性增強之IEEE 802.11機器對機器通訊zh_TW
dc.titleDeepSleep: IEEE 802.11 Enhancement for Energy-Harvesting Machine-to-Machine Communicationsen
dc.typeThesis
dc.date.schoolyear100-2
dc.description.degree碩士
dc.contributor.oralexamcommittee周俊廷,吳文中,洪樂文
dc.subject.keyword802.11ah,省電模式,能量收集,機器對機器通訊,zh_TW
dc.subject.keyword802.11ah,power saving mode,energy-harvesting,M2M communications,en
dc.relation.page45
dc.rights.note有償授權
dc.date.accepted2012-08-03
dc.contributor.author-college電機資訊學院zh_TW
dc.contributor.author-dept電機工程學研究所zh_TW
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