Impact of packet aggregation on energy consumption in smartphones

Palit, Rajesh; Naik, Kshirasagar; Singh, Ajit

doi:10.1109/iwcmc.2011.5982599

Cited by 21 publications

(18 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Low energy data packet aggregation scheme (LEDAS) [24] authors observed the characteristics of network packets. They discovered most of the network packets are small in size and to wake up the entire radio spectrum to transmit a small packet poses huge energy wastage.…”

Section: Related Workmentioning

confidence: 99%

PowerNap: a power-aware distributed Wi-Fi access point scheduling algorithm

Enayet

Mehajabin

Razzaque

et al. 2016

J Wireless Com Network

View full text Add to dashboard Cite

In this paper, we design a power-aware distributed access point scheduling algorithm, PowerNap, to enhance power conservation of co-existing multiple access points (APs) each having multiple clients in the same wireless vicinity. This consequently addresses low channel utilization, degraded throughput, and unfairness problems of Wi-Fi networks in an energy-efficient way. PowerNap schedules transmission periods of APs according to their traffic loads to ensure fair access of the medium from their respective clients' perspective. It supports dynamic rescheduling of AP transmission periods to aid client mobility and traffic fluctuations. The scheduling also ensures that no two APs, in a shared environment, wake up their clients at exactly the same time, decreasing data packet collisions and thus increasing network throughput and energy-efficiency. PowerNap achieves decentralization by exploiting single-hop neighborhood information (e.g., traffic loads) only, and thus, it is scalable. Performance evaluations, carried out in ns-3, depict that the effectiveness of the proposed PowerNap algorithm surpasses the state-of-the-art approaches in terms of energy consumption, network throughput, and fairness.

show abstract

Section: Related Workmentioning

confidence: 99%

PowerNap: a power-aware distributed Wi-Fi access point scheduling algorithm

Enayet

Mehajabin

Razzaque

et al. 2016

J Wireless Com Network

View full text Add to dashboard Cite

show abstract

“…The authors have quantified the possible energy savings through batch scheduling on real mobile platforms (e.g., Android) with particular focus on maximizing phone's sleep time or minimizing the frequency of wake-up by recurrent applications. Some further work in this domain for delay tolerant applications has been addressed in [1], [12] and [13].…”

Section: Related Workmentioning

confidence: 99%

“…They offer high speed Internet connectivity through EDGE, 3G/4G or WiFi interfaces and embed different type of sensors, including GPS, compass, gyroscope, proximity and health related sensors [1]. Due to enormous popularity with over 2 billion devices in use, the number of applications exploded (especially on Android and Apple stores) over the last few years.…”

Section: Introductionmentioning

confidence: 99%

“…Several strategies have been proposed in the literature for improving the battery life of smartphones. Most of them focuses on compressing data or shaping network traffic to create short idle periods during which network interfaces can stay in the low power states [1]. However, no strategy has been proposed till now to eliminate the energy waste due to background applications which periodically transmit/receive presence or heartbeat messages.…”

Section: Introductionmentioning

confidence: 99%

“…Fig. 2 shows the distribution of consecutive packets inter-arrival times on a typical smartphone [1]. About 40% of the packets have 0.5 ms inter-arrival time or even less.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Improving Smartphones Battery Life by Reducing Energy Waste of Background Applications

Bolla

Khan

Parra

et al. 2014

2014 Eighth International Conference on Next Generation Mobile Apps, Services and Technologies

View full text Add to dashboard Cite

Automated negotiated user profiling across distributed social mobile clouds for resource optimisation

Benkhelifa

Welsh

Tawalbeh

et al. 2018

Concurrency and Computation

View full text Add to dashboard Cite

With mobile computing being the number one user paradigm of choice, and cloud computing becoming the chosen supporting infrastructure, the aggregation of these two areas is inevitable.Yet due to their novelty, they suffer from both inherited and new issues. Social computing theory can apply well to this fusion, such as pooling together in a social model to create ad hoc mobile clouds or by providing a greater functionality for mobile devices through resource augmentation from an external cloud. However, due to the highly contested resources within this setting, these resources must be negotiated within a social context. This paper argues that the application of social models to mobile cloud computing can allow mobile devices to employ cooperative strategies for resource sharing to allow aspects such as energy and costs to be minimised. Social computing is the means of using computing resources to augment human intelligence, mobiles can provide these enhancements to social intelligences but in a peer-to-peer manner. This paper proposes the design of a novel system which employs aggregated user and application resource profiling, in order to determine the most optimal place to process data, locally or on a remote cloud. Negotiation with the local cloud will then find a balance between optimum energy and resource utilisation.

show abstract

Impact of packet aggregation on energy consumption in smartphones

Cited by 21 publications

References 7 publications

PowerNap: a power-aware distributed Wi-Fi access point scheduling algorithm

PowerNap: a power-aware distributed Wi-Fi access point scheduling algorithm

Improving Smartphones Battery Life by Reducing Energy Waste of Background Applications

Automated negotiated user profiling across distributed social mobile clouds for resource optimisation

Contact Info

Product

Resources

About