Queuing Analysis of Power Management in the IEEE 802.11 Based Wireless LANs
Energy efficiency is an important aspect in wireless networks and power management is a technique that can save energy. We investigate the power management in the IEEE 802.11 based infrastructure mode wireless LANs and seek the optimal power management parameters that can achieve good energy efficie...
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Veröffentlicht in: | IEEE transactions on wireless communications 2007-04, Vol.6 (4), p.1286-1294 |
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description | Energy efficiency is an important aspect in wireless networks and power management is a technique that can save energy. We investigate the power management in the IEEE 802.11 based infrastructure mode wireless LANs and seek the optimal power management parameters that can achieve good energy efficiency without degrading other performances. We propose two models for the power management scheme: the M/G/1 queue with bulk service model and the D/G/1 queue model. From the models, we obtain the analytical results for the energy efficiency and the response time performance metrics, which are controlled by a listen interval. Our simulation results are in good agreement with the analysis. Based on the analytical models and simulation, we propose to select the largest listen interval with the satisfaction of response time requirement. The analytical models can be used to predict system performance if system configurations are given. This can help system deployment and system optimization. |
doi_str_mv | 10.1109/TWC.2007.348325 |
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We investigate the power management in the IEEE 802.11 based infrastructure mode wireless LANs and seek the optimal power management parameters that can achieve good energy efficiency without degrading other performances. We propose two models for the power management scheme: the M/G/1 queue with bulk service model and the D/G/1 queue model. From the models, we obtain the analytical results for the energy efficiency and the response time performance metrics, which are controlled by a listen interval. Our simulation results are in good agreement with the analysis. Based on the analytical models and simulation, we propose to select the largest listen interval with the satisfaction of response time requirement. The analytical models can be used to predict system performance if system configurations are given. 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We investigate the power management in the IEEE 802.11 based infrastructure mode wireless LANs and seek the optimal power management parameters that can achieve good energy efficiency without degrading other performances. We propose two models for the power management scheme: the M/G/1 queue with bulk service model and the D/G/1 queue model. From the models, we obtain the analytical results for the energy efficiency and the response time performance metrics, which are controlled by a listen interval. Our simulation results are in good agreement with the analysis. Based on the analytical models and simulation, we propose to select the largest listen interval with the satisfaction of response time requirement. The analytical models can be used to predict system performance if system configurations are given. This can help system deployment and system optimization.</description><subject>Analytical models</subject><subject>Applied sciences</subject><subject>Business and industry local networks</subject><subject>Computer simulation</subject><subject>Degradation</subject><subject>Energy conservation</subject><subject>Energy efficiency</subject><subject>Energy management</subject><subject>Exact sciences and technology</subject><subject>IEEE 802.11 Standards</subject><subject>Intervals</subject><subject>Management</subject><subject>Mathematical analysis</subject><subject>Networks and services in france and abroad</subject><subject>Optimization</subject><subject>Performance analysis</subject><subject>Power management</subject><subject>Queueing analysis</subject><subject>Queues</subject><subject>Queuing</subject><subject>Studies</subject><subject>System performance</subject><subject>Systems, networks and services of telecommunications</subject><subject>Telecommunications</subject><subject>Telecommunications and information theory</subject><subject>Teleprocessing networks. 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Isdn</topic><topic>Teletraffic</topic><topic>Wireless LAN</topic><topic>Wireless networks</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lei, H.</creatorcontrib><creatorcontrib>Nilsson, A.A.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><jtitle>IEEE transactions on wireless communications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Lei, H.</au><au>Nilsson, A.A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Queuing Analysis of Power Management in the IEEE 802.11 Based Wireless LANs</atitle><jtitle>IEEE transactions on wireless communications</jtitle><stitle>TWC</stitle><date>2007-04-01</date><risdate>2007</risdate><volume>6</volume><issue>4</issue><spage>1286</spage><epage>1294</epage><pages>1286-1294</pages><issn>1536-1276</issn><eissn>1558-2248</eissn><coden>ITWCAX</coden><abstract>Energy efficiency is an important aspect in wireless networks and power management is a technique that can save energy. We investigate the power management in the IEEE 802.11 based infrastructure mode wireless LANs and seek the optimal power management parameters that can achieve good energy efficiency without degrading other performances. We propose two models for the power management scheme: the M/G/1 queue with bulk service model and the D/G/1 queue model. From the models, we obtain the analytical results for the energy efficiency and the response time performance metrics, which are controlled by a listen interval. Our simulation results are in good agreement with the analysis. Based on the analytical models and simulation, we propose to select the largest listen interval with the satisfaction of response time requirement. The analytical models can be used to predict system performance if system configurations are given. This can help system deployment and system optimization.</abstract><cop>Piscataway, NJ</cop><pub>IEEE</pub><doi>10.1109/TWC.2007.348325</doi><tpages>9</tpages></addata></record> |
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subjects | Analytical models Applied sciences Business and industry local networks Computer simulation Degradation Energy conservation Energy efficiency Energy management Exact sciences and technology IEEE 802.11 Standards Intervals Management Mathematical analysis Networks and services in france and abroad Optimization Performance analysis Power management Queueing analysis Queues Queuing Studies System performance Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Teleprocessing networks. Isdn Teletraffic Wireless LAN Wireless networks |
title | Queuing Analysis of Power Management in the IEEE 802.11 Based Wireless LANs |
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