Towards energy efficient VoIP over wireless LANs

Namboodiri, Vinod; Gao, Lixin

doi:10.1145/1374618.1374642

Cited by 27 publications

(13 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The AP in the middle has two clients using VoIP calls. In the simulation, the call deadline for VoIP was set to 250ms [29], i.e., if the VoIP traffic takes more than 250ms to be deliverd at the destination, it is regarded as lost. The simulation results for QoS support through IEEE 802.11e are presented in Table 2.…”

Section: Voice-over-ipmentioning

confidence: 99%

QoS provisioning for large-scale multi-ap WLANs

Choi¹,

Shin²

2012

Ad Hoc Networks

View full text Add to dashboard Cite

Large-scale deployment of IEEE 802.11 wireless LANs (WLANs) with a high density of access points (APs) has become commonplace due mainly to its potential for numerous benefits, such as ubiquitous service coverage, seamless handover, and improved link quality. However, the increased AP density can induce significant channel contention among neighboring cells, thus causing severe performance degradation and throughput imbalance between cells. There have been a plethora of research efforts to improve the WLAN performance, but most of them focused only on single WLAN environments without accounting for intercell contention. The de facto QoS provisioning mechanism for WLANs, i.e., the Enhanced Distributed Channel Access (EDCA), is no exception to this. The EDCA focuses only on inter-flow priority distinction and has not considered the effect of inter-cell contention which significantly restricts its efficiency. This paper presents an enhanced QoS provisioning framework that takes into account inter-cell level differentiation as well as inter-flow level priority, which may be viewed as extension of QoS provisioning from a single-WLAN domain to a multi-WLAN domain. We also propose an architecture for managing multi-AP systems in which a central controller regulates the wireless channel occupancy of APs by adaptively configuring the cell-level QoS parameters. Our extensive simulation results show that the proposed inter-AP cooperative QoS scheme overcomes the limit of legacy 802.11e and provides a high level of fairness in large-scale denselydeployed WLANs.

show abstract

Section: Voice-over-ipmentioning

confidence: 99%

QoS provisioning for large-scale multi-ap WLANs

Choi¹,

Shin²

2012

Ad Hoc Networks

View full text Add to dashboard Cite

show abstract

“…Despite the incredible market penetration of smartphones, their utility has been and will remain severely limited by their battery life [6], [8]. A major fraction of the energy consumption in smartphones comes from the wireless network interface controller (WNIC).…”

Section: Introductionmentioning

confidence: 99%

Realizing the full potential of PSM using proxying

Ding

Pathak

Koutsonikolas

et al. 2012

2012 Proceedings IEEE INFOCOM

View full text Add to dashboard Cite

Abstract-The WiFi radio in smartphones consumes a significant portion of energy when active. To reduce the energy consumption, the Power Saving Mode was standardized in IEEE 802.11 and two major implementations, Static PSM and Dynamic PSM, have been widely used in mobile devices. Unfortunately, both PSMs have inherent drawbacks: Static PSM is energy efficient but imposes considerable extra delays on data transfers; Dynamic PSM incurs little extra delay but misses energy saving opportunities.In this paper, we first analyze a one-week trace from 10 users and show that more than 80% of all traffic are Web 2.0 flows, which are of very small sizes and short durations. Targeting these short but dominant flows, we propose a system called Percy, to achieve the best of both worlds (Static and Dynamic PSM), i.e., to maximize the energy saving while minimizing the delay of flow completion time. Percy works by deploying a web proxy at the AP and suitably configuring the PSM parameters, and is designed to work with unchanged clients running Dynamic PSM, and unchanged APs and Internet servers. We evaluate our system via trace-driven testbed experiments. Our results show that Percy saves 40-70% energy compared to Dynamic PSM configurations of Nokia, iPhone and Android, while imposing low extra delay that can hardly be perceived by users.

show abstract

“…[1,2] As a result, the increasing user demands and applications led to the critical requirements of energy consumption and battery life. Among the previous studies, it has been shown that the energy consumption of wireless transmission is a significant part of the overall energy consumption of wireless devices.…”

Section: Introductionmentioning

confidence: 99%

A measurement study for transmission energy on mobile device

Wang

Liu

et al. 2012

Proceedings of 2012 2nd International Conference on Computer Science and Network Technology

View full text Add to dashboard Cite

Energy consumption caused by wireless data transmission takes a significant part of the overall energy consumption of mobile devices, due to the popularity of Internet applications. There are many factors to influence energy consumption such as signal strength, data rate and so on. In this paper we proposed a system to measure the transmission energy consumption in Wi-Fi and 3G. We did some experiments to show the result, and the data in our research is correct to use in future work. As a result, we concluded the relationship between power and some important factors in Wi-Fi and 3G.

show abstract

Towards energy efficient VoIP over wireless LANs

Cited by 27 publications

References 17 publications

QoS provisioning for large-scale multi-ap WLANs

QoS provisioning for large-scale multi-ap WLANs

Realizing the full potential of PSM using proxying

A measurement study for transmission energy on mobile device

Contact Info

Product

Resources

About