Remaining Energy-Aware Power Management Mechanism in the 802.16e MAC

Kim, Min-Gon; Kang, Minho; Choi, Jung Yul

doi:10.1109/ccnc08.2007.56

Cited by 17 publications

(10 citation statements)

References 6 publications

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“…They describe a sleep interval algorithm based on queuing analysis of the packet arrival rate of subscribers. In contrast, Kim et al [13] describe a sleep interval scheme based on the remaining battery life of a mobile subscriber device. Shi et al [14] propose a burst scheduling algorithm for energy minimization on per subscriber basis for unicast data.…”

Section: B Related Work 1) Video Streaming Over Wimaxmentioning

confidence: 99%

Energy-Efficient Multicasting of Scalable Video Streams Over WiMAX Networks

Sharangi

Krishnamurti

Hefeeda

2011

IEEE Trans. Multimedia

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Abstract-The Multicast/Broadcast Service (MBS) feature of mobile WiMAX network is a promising technology for providing wireless multimedia, because it allows the delivery of multimedia content to large-scale user communities in a cost-efficient manner. In this paper, we consider WiMAX networks that transmit multiple video streams encoded in scalable manner to mobile receivers using the MBS feature. We focus on two research problems in such networks: 1) maximizing the video quality and 2) minimizing energy consumption for mobile receivers. We formulate and solve the substream selection problem to maximize the video quality, which arises when multiple scalable video streams are broadcast to mobile receivers with limited resources. We show that this problem is NP-Complete, and design a polynomial time approximation algorithm to solve it. We prove that the solutions computed by our algorithm are always within a small constant factor from the optimal solutions. In addition, we extend our algorithm to reduce the energy consumption of mobile receivers. This is done by transmitting the selected substreams in bursts, which allows mobile receivers to turn off their wireless interfaces to save energy. We show how our algorithm constructs burst transmission schedules that reduce energy consumption without sacrificing the video quality. Using extensive simulation and mathematical analysis, we show that the proposed algorithm: 1) is efficient in terms of execution time, 2) achieves high radio resource utilization, 3) maximizes the received video quality, and 4) minimizes the energy consumption for mobile receivers.

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Section: B Related Work 1) Video Streaming Over Wimaxmentioning

confidence: 99%

Energy-Efficient Multicasting of Scalable Video Streams Over WiMAX Networks

Sharangi

Krishnamurti

Hefeeda

2011

IEEE Trans. Multimedia

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“…Another interesting approach to improve the performance of PSM is to consider the state of remaining energy of an MS (Kim et al, , 2008c(Kim et al, , 2009). The key idea behind this approach is that the reduction of energy consumption is more preferable under insufficient remaining energy while the reduction of the response delay is more important than energy saving under sufficient remaining energy.…”

Section: Advanced Sleep-mode Operation For Performance Enhancementmentioning

confidence: 99%

Power-saving mechanisms for energy efficient IEEE 802.16e/m

Choi

Kim²,

Jeong

et al. 2012

Journal of Network and Computer Applications

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“…Different from the original standard, authors in Reference 7 propose an adaptive scheme to adjust the sleeping windows based on the current system traffic demands. In Reference 8, initial and final sleeping windows are adaptively adjusted according to the current remaining energy level.…”

Section: Related Workmentioning

confidence: 99%

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

Wong¹,

Zhang²,

Tsang³

2010

Wireless Communications

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To 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.

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Remaining Energy-Aware Power Management Mechanism in the 802.16e MAC

Cited by 17 publications

References 6 publications

Energy-Efficient Multicasting of Scalable Video Streams Over WiMAX Networks

Energy-Efficient Multicasting of Scalable Video Streams Over WiMAX Networks

Power-saving mechanisms for energy efficient IEEE 802.16e/m

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

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