Energy-aware QoS for application sessions across multiple protocol domains in mobile computing

Lufei, Hanping; Shi, Wei

doi:10.1016/j.comnet.2007.01.006

Cited by 5 publications

(4 citation statements)

References 35 publications

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“…In [14], the authors propose a system for enabling applications running on mobile devices to adapt their behavior in order to reduce their energy consumption, by optimizing the collaboration between applications and the underlying operating system. A similar goal drives the research illustrated in [13], where the authors propose an energy-aware QoS model (e-QoS) providing QoS guarantee in terms of energy consumption of network-centric applications running on mobile devices. This is accomplished by dynamically selecting and adapting application protocols.…”

Section: Related Workmentioning

confidence: 80%

Evaluation of context distribution methods via Bluetooth and WLAN: Insights gained while examining Battery Power Consumption

Devlić

Graf

Barone

2008

Proceedings of the 5th International ICST Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services

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In a traditional context-aware system, most context information is local to a device. However, we may need access to context information from outside the device. Increasingly mobile electronic devices are equipped with Bluetooth and/or WLAN network interfaces. Both of these technologies enable ad hoc discovery & networking. In this paper we evaluate the use of these technologies for context distribution within a local area (i.e., limited to a single hop). Using Bluetooth, we begin by discovering devices using Bluetooth's discovery protocol, collect their context information, create an XML file containing this information, and distribute this file to all discovered devices, such that every device now has the same context information. Next we perform the same discovery, collect, and distribute functions, but using WLAN. In each case we have performed the cycle of operations starting with a fully charged battery and continuing until the device was not able to utilize the selected wireless interface any longer. Finally we compare both approaches to context distribution in terms of battery power consumption. We observe that Bluetooth consumes 2-6 times more energy for transmission of a 1MB file to two devices than to discover these two devices. Furthermore, the transfer of this file is two times slower than WLAN, and we must unicast this file to each device. Multicasting via WLAN proved to be less energy consuming than the Bluetooth transmission, if data is to be sent to more than three users. In addition, the energy to discover 2 devices along with their services using Bluetooth consumed 52 times more energy than to receive the same amount of data via a WLAN multicast. Thus, this paper shows that it is more energy efficient to distribute context knowledge to other devices, than having each device learn this information itself. Finally, we give equations for calculating the battery power consumption of transmitting data using any protocol that runs over Bluetooth or over WLAN.

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Section: Related Workmentioning

confidence: 80%

Evaluation of context distribution methods via Bluetooth and WLAN: Insights gained while examining Battery Power Consumption

Devlić

Graf

Barone

2008

Proceedings of the 5th International ICST Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services

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“…In the field of energy informatics, for example, researchers have proposed sensor networks that improve the alignment of the supply and demand of energy in socio-technical work systems [Watson et al, 2010]. Further work has been conducted by Lufei [2007], Ardagna et al [2008], and Leitao et al [2010], among others. Smart, energy-aware processes go beyond compliance with recent ISO 14000 standards that address various aspects of environmental management.…”

Section: Establishing Green Processes In Organisationsmentioning

confidence: 99%

What IS Can Do for Environmental Sustainability: A Report from CAiSE’11 Panel on Green and Sustainable IS

Pernici¹,

Aiello²,

Brocke³

et al. 2012

CAIS

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The panel on Green and Sustainable Information Systems at the 21 st International Conference on Information Systems Engineering (CAiSE'11), held in London in June 2011, was held to discuss issues in Environmental Sustainability and Information Systems within the Information Systems Engineering research community. This panel report describes the panelists' views on using information systems for improving sustainability and on improving the energy efficiency of the data centres on which information systems are based. The current topics of research, possible contributions of the IS community, and future directions are discussed.

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“…Related work on NI activation strategies is mainly theoretical, and moreover focuses mainly on applications in which mobile user acts as an occasional data consumer and does not produce data, as in the MobiHealth system. For example, authors of [10][11][12][13] consider NI strategies together with methods for local or proxy-based caching data for users of email application and web-services. The work reported in [14] reduced energy consumption by introducing a NI ON-IDLE stand-by state, at which the mobile device is wakened-up if there is an incoming network event, e.g.…”

Section: Related Workmentioning

confidence: 99%

Power- and delay-aware mobile application-data flow adaptation: the MobiHealth system case study

Wac

Bargh

Peddemors

et al. 2008

HealthCom 2008 - 10th International Conference on E-Health Networking, Applications and Services

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Emerging healthcare applications rely on personal mobile devices to monitor patient vital signs and to send it to the hospitals-backend servers for further analysis. However, these personal mobile devices have limited resources that must be used optimally in order to meet the requirements of healthcare applications end-users: healthcare professionals and their patients. This paper reports on a case study of a cardiac telemonitoring application delivered by the so-called MobiHealth system. This system relies on a commercial personal mobile device with multiple (wireless) network interfaces (NI). The study focuses on how the choice of a NI affects the end-to-end application's data delay (extremely important in case of patient's emergency) and the energy consumption of the device (relating to the service sustainability while a patient is mobile). Our results show the trade-off between battery savings and the delay achieved by various NI activation strategies in combination with application-data flow adaptation. For a given mobile device, our study shows a gain of 40-90% in battery savings, traded against the higher delays (therefore applicable mainly in nonemergency cases). The insights of our studies can be used for application-data flow adaptation aiming at battery saving and prolonging device's operation while patients being mobile.

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Energy-aware QoS for application sessions across multiple protocol domains in mobile computing

Cited by 5 publications

References 35 publications

Evaluation of context distribution methods via Bluetooth and WLAN: Insights gained while examining Battery Power Consumption

Evaluation of context distribution methods via Bluetooth and WLAN: Insights gained while examining Battery Power Consumption

What IS Can Do for Environmental Sustainability: A Report from CAiSE’11 Panel on Green and Sustainable IS

Power- and delay-aware mobile application-data flow adaptation: the MobiHealth system case study

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