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| Title: | Adaptive application-driven WLAN power management |
| Author (s): | Hurson, Ali Jiao, Yu Shirazi, Behrooz |
| Department/Lab Affiliations: | Computer Science |
| Keywords: | Algorithm/protocol design and analysis Energy-aware systems |
| Subject Terms: | Mobile communication systems. |
| Issue Date: | 2007-06 |
| Publisher: | Elsevier |
| Citation: | Jiao, Yu., Hurson, Ali., and Shirazi, Behrooz. "Adaptive Application-Driven WLAN Power Management." Journal of Pervasive and Mobile Computing, vol. 3, no. 3, (2007). |
| Abstract: | In this paper we present an previous term adaptive application-driven power managementnext term (AADPM) strategy with online idle period length distribution learning capability for the IEEE 802.11b previous termWLAN.next term We discuss its design and evaluate the performance in comparison with other previous termpower managementnext term strategies using the network simulator NS2. We simulated both the single user and multiple user scenarios. Experimental results have shown that, compared with other previous termpower managementnext term methods examined in this paper, AADPM achieved the highest energy saving in all cases and it demonstrated strong adaptability to network congestion. |
| Type: | Article - Journal text |
| In Title: | Journal of Pervasive and Mobile Coomputing |
| Copyright Notice: | This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. FULL COPYRIGHT INFORMATION: |
| Publisher URL: | |
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| title | Adaptive application-driven WLAN power management |
| contributor.author | Hurson, Ali |
| contributor.author | Jiao, Yu |
| contributor.author | Shirazi, Behrooz |
| contributor.deptlab | Computer Science |
| contributor.sponsor | National Science Foundation |
| contributor.sponsor | Office of Naval Research |
| subject | Algorithm/protocol design and analysis |
| subject | Energy-aware systems |
| subject.LCSH | Mobile communication systems. |
| date.issued | 2007-06 |
| publisher | Elsevier |
| identifier.pub.URI | |
| identifier.citation | Jiao, Yu., Hurson, Ali., and Shirazi, Behrooz. "Adaptive Application-Driven WLAN Power Management." Journal of Pervasive and Mobile Computing, vol. 3, no. 3, (2007). |
| description.abstract | In this paper we present an previous term adaptive application-driven power managementnext term (AADPM) strategy with online idle period length distribution learning capability for the IEEE 802.11b previous termWLAN.next term We discuss its design and evaluate the performance in comparison with other previous termpower managementnext term strategies using the network simulator NS2. We simulated both the single user and multiple user scenarios. Experimental results have shown that, compared with other previous termpower managementnext term methods examined in this paper, AADPM achieved the highest energy saving in all cases and it demonstrated strong adaptability to network congestion. |
| type | Article - Journal |
| type.DCMIType | text |
| relation.isPartOf | Journal of Pervasive and Mobile Coomputing |
| rights | This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. |
| rights.URI | |
| date.accessioned | 2007-04-11T17:00:48Z |
| date.available | 2008-04-22T21:23:19Z |
| identifier.persist.URI | |
| type.status | Final version |