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Conference Paper: Switching cost minimization in the IEEE 802.16e mobile WiMAX sleep mode operation

TitleSwitching cost minimization in the IEEE 802.16e mobile WiMAX sleep mode operation
Authors
Keywordssleep mode
802.16e
energy-efficiency wireless
power management
Issue Date2010
Citation
Wireless Communications and Mobile Computing, 2010, v. 10, n. 12, p. 1576-1588 How to Cite?
AbstractTo prolong the battery lifetime, it is important to continue designing a better energy efficient mechanism for different mobile technologies. Most of the existing works on the IEEE 802.16e sleep mode operation focus on the decision making before a mobile station switching to sleep mode state. The correlation of the decision is mainly on when and how to sleep based on the traffic demands. After the mobile station is switched to sleep mode, the deactivation of it mainly depends on new incoming traffic regardless of the actual amount. Truly, frequent switching can increase the energy cost on the mobile station, which can significantly reduce the battery lifetime. To minimize the switching frequency, we propose a novel approach to resolve this issue by making a heuristic decision during the listening interval. With this aim, we propose a real-time heuristic algorithm, WAKSLP-DECISION, to accommodate our target. Three main decision criteria are analyzed and designed, namely the probability of buffer overflow, expected delay violation, and battery lifetime expiry, to achieve our goal. We verify the energy consumption performance with simulation experiments to validate our proposed scheme. The result shows that our scheme performs 25-30% better compared with the original standard in terms of energy consumption. We believe this algorithm is practical and implementable without changing the original standard, which can contribute both in the research community and industrial development. Copyright © 2009 John Wiley & Sons, Ltd.
Persistent Identifierhttp://hdl.handle.net/10722/230862
ISSN
2015 Impact Factor: 0.922
2015 SCImago Journal Rankings: 0.421

 

DC FieldValueLanguage
dc.contributor.authorWong, Gary K W-
dc.contributor.authorZhang, Qian-
dc.contributor.authorTsang, Danny H K-
dc.date.accessioned2016-09-01T06:06:59Z-
dc.date.available2016-09-01T06:06:59Z-
dc.date.issued2010-
dc.identifier.citationWireless Communications and Mobile Computing, 2010, v. 10, n. 12, p. 1576-1588-
dc.identifier.issn1530-8669-
dc.identifier.urihttp://hdl.handle.net/10722/230862-
dc.description.abstractTo prolong the battery lifetime, it is important to continue designing a better energy efficient mechanism for different mobile technologies. Most of the existing works on the IEEE 802.16e sleep mode operation focus on the decision making before a mobile station switching to sleep mode state. The correlation of the decision is mainly on when and how to sleep based on the traffic demands. After the mobile station is switched to sleep mode, the deactivation of it mainly depends on new incoming traffic regardless of the actual amount. Truly, frequent switching can increase the energy cost on the mobile station, which can significantly reduce the battery lifetime. To minimize the switching frequency, we propose a novel approach to resolve this issue by making a heuristic decision during the listening interval. With this aim, we propose a real-time heuristic algorithm, WAKSLP-DECISION, to accommodate our target. Three main decision criteria are analyzed and designed, namely the probability of buffer overflow, expected delay violation, and battery lifetime expiry, to achieve our goal. We verify the energy consumption performance with simulation experiments to validate our proposed scheme. The result shows that our scheme performs 25-30% better compared with the original standard in terms of energy consumption. We believe this algorithm is practical and implementable without changing the original standard, which can contribute both in the research community and industrial development. Copyright © 2009 John Wiley & Sons, Ltd.-
dc.languageeng-
dc.relation.ispartofWireless Communications and Mobile Computing-
dc.subjectsleep mode-
dc.subject802.16e-
dc.subjectenergy-efficiency wireless-
dc.subjectpower management-
dc.titleSwitching cost minimization in the IEEE 802.16e mobile WiMAX sleep mode operation-
dc.typeConference_Paper-
dc.description.natureLink_to_subscribed_fulltext-
dc.identifier.doi10.1002/wcm.875-
dc.identifier.scopuseid_2-s2.0-78650794900-
dc.identifier.volume10-
dc.identifier.issue12-
dc.identifier.spage1576-
dc.identifier.epage1588-
dc.identifier.eissn1530-8677-

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