Energy Considerations for a Wireless Multi-homed Environment

Castignani, German; Montavont, Nicolas; Lampropulos, Alejandro

doi:10.1007/978-3-642-23541-2_19

Cited by 4 publications

(2 citation statements)

References 12 publications

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“…CoolSpots [11] is another oft-cited research that demonstrates the use of quantitative measurements to automatically switch between multiple radio interfaces, such as Wi-Fi and Bluetooth, in order to save power. Castignani et al, in [12], conducted a similar study for newer Wi-Fi and 3G interfaces.…”

Section: Related Workmentioning

confidence: 99%

Mobile Application and Device Power Usage Measurements

Murmuria

Medsger

Stavrou

et al. 2012

2012 IEEE Sixth International Conference on Software Security and Reliability

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Abstract-Reducing power consumption has become a crucial design tenet for both mobile and other small computing devices that are not constantly connected to a power source. However, unlike devices that have a limited and predefined set of functionality, recent mobile smartphone devices have a very rich set of components and can handle multiple general purpose programs that are not a-priori known or profiled.In this paper, we present a general methodology for collecting measurements and modelling power usage on smartphones. Our goal is to characterize the device subsystems and perform accurate power measurements. We implemented a system that effectively accounts for the power usage of all of the primary hardware subsystems on the phone: CPU, display, graphics, GPS, audio, microphone, and Wi-Fi. To achieve that, we make use of the per-subsystem time shares reported by the operating system's power-management module. We present the models capability to further calculate the power consumption of individual applications given measurements, and also the feasibility of our model to operate in real-time and without significant impact in the power footprint of the devices we monitor.

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Section: Related Workmentioning

confidence: 99%

Mobile Application and Device Power Usage Measurements

Murmuria

Medsger

Stavrou

et al. 2012

2012 IEEE Sixth International Conference on Software Security and Reliability

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“…As groundbreaking new battery technologies are yet to be found, increasing the energy efficiency is the task at hand. Concerning the power consumption for connectivity, Wi-Fi is already a better choice than cellular for its higher rate and overall better energy-efficiency under network load [1]. In the next generation of smartphones the Wi-Fi functionalities may be extended with the wireless mesh network amendment IEEE 802.11s, which-among other features-allows sharing multimedia contents without requiring the presence of an access point.…”

Section: Introductionmentioning

confidence: 99%

A Testbed Evaluation of the Scalability of IEEE 802.11s Light Sleep Mode

Porsch

Bauschert

2013

Lecture Notes in Computer Science

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Abstract. Wireless mesh networkshave not yet made their breakthrough in consumer electronics, although they are well suited for use in home or on-thego environments. Especially IEEE 802.11s is ideal for multimedia sharing on handheld devices as it uses regular Wi-Fi hardware, but provides connectivity without requiring an access point. To maintain proper battery runtime on mobile devices 802.11s introduces new power save schemes. Despite the increased complexity due to the meshed connectivity, these schemes allow efficient energy saving for the mesh nodes. In this paper we present a testbed implementation of the IEEE 802.11s power save schemes on off-the-shelf hardware and assess their effects on current consumption for the idle network case in detail.

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Wi2Me: A Mobile Sensing Platform for Wireless Heterogeneous Networks

Castignani¹,

Lampropulos²,

Blanc³

et al. 2012

2012 32nd International Conference on Distributed Computing Systems Workshops

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International audienceWith the increasing popularity of WiFi technologies, mobile users may now take advantage of heterogeneous wireless networks. In contrast to cellular networks, community networks, based on sharing WiFi residential accesses, show a high access points density in urban areas but uncontrolled performance. We present Wi2Me Traces Explorer, an extensible mobile sensing application to characterize current deployments. This application allows any mobile user to gather not only access point locations but also their performance in terms of bandwidth, link quality and successful connection rate

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Energy Considerations for a Wireless Multi-homed Environment

Cited by 4 publications

References 12 publications

Mobile Application and Device Power Usage Measurements

Mobile Application and Device Power Usage Measurements

A Testbed Evaluation of the Scalability of IEEE 802.11s Light Sleep Mode

Wi2Me: A Mobile Sensing Platform for Wireless Heterogeneous Networks

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