Adaptive waiting time threshold estimation algorithm for power saving in sleep mode of IEEE 802.16e

Sanghvi, K.; Jain, Preksha; Lele, Abhijit; Das, Debabrata

doi:10.1109/comswa.2008.4554436

Cited by 11 publications

(5 citation statements)

References 9 publications

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“…If the last sleep window is equal to the minimum sleep window, the idle time is set to a certain value, which makes the MS wait for new traffic before going into sleep-mode. Similar idea was found in Sanghvi et al (2008) named as an adaptive waiting time threshold estimation algorithm. The waiting time before going into sleep-mode from the last packet arrival in wake-mode can be adaptively changed based on the traffic load.…”

Section: Advanced Sleep-mode Operation For Performance Enhancementmentioning

confidence: 78%

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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Section: Advanced Sleep-mode Operation For Performance Enhancementmentioning

confidence: 78%

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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“…Figure 8 shows the network topology of our simulation. The listening window duration equals one frame [26,27] because there is no advantage to setting listening window to more than one frame. For simplicity, we did not consider handover effects of handover in our simulation.…”

Section: Performance Evaluation and Discussionmentioning

confidence: 99%

“…Table II shows the simulation parameters. The listening window duration equals one frame [26,27] because there is no advantage to setting listening window to more than one frame. All MSSs are equipped with a battery whose initial power is 300 mAh, and a simple linear battery model is used.…”

Section: Performance Evaluation and Discussionmentioning

confidence: 99%

“…They proposed a method of choosing appropriate system parameters, including the initial and final sleep windows, when the traffic load information is given. Sanghvi et al proposed an adaptive waiting time threshold (AWTT) algorithm that can optimize the idle threshold according to traffic arrival patterns on mobile stations. To reduce power consumption of mobile devices, the AWTT modified the constant waiting time threshold and adapted to the downlink and uplink traffic.…”

Section: Introductionmentioning

confidence: 99%

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Improving energy‐efficient communications with a battery lifetime‐aware mechanism in IEEE802.16e wireless networks

Chou

Hong

2012

Concurrency and Computation

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Green network communication has recently received attention because of its economic and environmentally friendly benefits. Energy consumption significantly affects mobile subscriber stations in wireless broadband access networks. Efficient energy saving is an important and challenging issue because all mobile stations are powered by limited battery lifetimes. The IEEE 802.16e standard adopts the sleep mode operation for energy saving with three important parameters: idle threshold, initial sleep window and final sleep window. Adaptively adjusting these parameters to improve energy-efficient communication is an open research topic. This paper proposes a battery lifetime-aware energy-saving mechanism to adaptively adjust three sleep mode parameters for mobile stations and extend batteries lives. The new mechanism considers effect factors, including residual battery lifetime and traffic load on mobile stations. Analytical sleep mode operation models were explored in this work. Our proposed mechanism was examined with a computer simulation using QualNet. The simulation results demonstrate that the proposed mechanism outperforms the IEEE 802.16e standard in the average lives of mobile stations, improving them by up to 30.08% with little increase in the average waiting delay. INTRODUCTIONGreen network communication has recently received much attention because of its significant properties, which offer important economic and environmentally friendly benefits. Gradual energy scarcity and the impact of global warming on the environment are inevitable. To address the need of reducing carbon dioxide emission for energy generation, people are finding solutions to reduce energy consumption and improve the energy-saving efficiency in network communication. The trade-off between saving energy and efficient network communication is a subtle research issue in green wireless communication [1]. Moreover, efficiently utilizing limited network resources, including network bandwidths, battery energy and network devices capacity in wireless networks, greatly affects the performance of energy-efficient networks. Cross-layer approaches to green networks are increasingly proposed, addressing energy consumption minimization, power management, network management (handover and mobility management) and practical implementations [2]. Medium access protocols in wireless sensor networks were modified to reduce energy consumption due to transmission channel contention with guaranteed Quality of Service (QoS) [3]. Reservation-based bandwidth polling mechanisms and an adaptive scheduling strategy were designed to optimize scarce network resource management [4,5]. In the network layer, energy-efficient routing protocols in wireless ad hoc networks were widely studied to

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“…In (Sanghvi et al 2008), an adaptive waiting time threshold scheme was proposed to reduce consumption. The scheme adjusts the idle threshold according to DL and UL traffic pattern to predict a better duration of waiting time.…”

Section: Power Saving Mechanismsmentioning

confidence: 99%

A Comprehensive Survey On Power Saving Schemes (CSPSS) In IEEE 802.16E/M Networks.

Wisdom¹,

Ajayi²,

Aladesote³

et al. 2021

Proceedings of the 27th iSTEAMS Multidisciplinary &Amp; Inter-Tertiary Research Conference

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Worldwide interoperability for micro wave access (WiMAX) is a wireless network that have attracted the attention of researchers on the area of power savings, because of the increase in multimedia applications that consumes more battery power of Mobile stations (MS). MS experience an increase in their daily operations with limited power enforced on the MS; hence the need to optimally increase efficiency; due to the excessive power consumption experienced by MS; which significantly affects the performance of MS since, MS are battery powered with a super impose life, improving the life time of MS is imperative. Thus, this has led to numerous research works on energy-savings. Hence, we have presented a survey on the recent and past energy-saving schemes, aimed at understanding some of the most relevant sources of inefficiency in energy savings and how some of these challenges are solved by the existing solutions. We further presented a comparative analysis on these schemes with the aim of identifying current challenges that are yet to be addressed by the research community as well as presents future directions towards efficient energy savings in WiMAX networks. Keywords: Power-Savings, Consumption, WiMAX, Networks

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Adaptive waiting time threshold estimation algorithm for power saving in sleep mode of IEEE 802.16e

Cited by 11 publications

References 9 publications

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

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

Improving energy‐efficient communications with a battery lifetime‐aware mechanism in IEEE802.16e wireless networks

A Comprehensive Survey On Power Saving Schemes (CSPSS) In IEEE 802.16E/M Networks.

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