Energy Consumption of TCP in Ad Hoc Networks

Singh, Harkirat; Saxena, Sharad; Singh, Suresh

doi:10.1023/b:wine.0000036456.85213.45

Cited by 22 publications

(11 citation statements)

References 14 publications

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“…It is a well-known result from previous studies that the energy consumption of a WNI can be calculated if the durations the WNI spends in different operating modes are known [3]. On real devices, however, the duration information is not easily accessible.…”

Section: Introductionmentioning

confidence: 99%

“…For example, [13] investigated the effects of RTC/CTS access mode in ad-hoc scenarios, while [14] analyzed the power consumption of MAC/PHY layer overheads and extended the study to low-energy transmit power control and physical layer rate adaptation. Concerning the physical operating modes of WNIs, the study in [3] analyzed the power consumption of a TCP sender by dividing the transmission process into three states, namely, idle, transmitting and receiving. Derived from [3], our power model takes the 802.11 power saving modes into account and divides the transmission process into four states, namely, IDLE, SLEEP, TRANSMIT, and RECEIVE.…”

Section: Related Workmentioning

confidence: 99%

“…Concerning the physical operating modes of WNIs, the study in [3] analyzed the power consumption of a TCP sender by dividing the transmission process into three states, namely, idle, transmitting and receiving. Derived from [3], our power model takes the 802.11 power saving modes into account and divides the transmission process into four states, namely, IDLE, SLEEP, TRANSMIT, and RECEIVE.…”

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

Practical power modeling of data transmission over 802.11g for wireless applications

Xiao

Savolainen

Karppanen

et al. 2010

Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking

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Previous studies have shown that a significant part of the overall energy consumption of battery-powered mobile devices is caused by network data transmission. Power models that describe the power consumption behavior of the network data transmission are therefore an essential tool in estimating the battery lifetime and in minimizing the energy usage of mobile devices. In this paper, we present a simple and practical power model for data transmission over an 802.11g WLAN and show its accuracy against physical data measured from three popular mobile platforms, Maemo, Android and Symbian. Our model estimates the energy usage based on the data transmission flow characteristics which are easily available on all the platforms without modifications to lowlevel software components or hardware. Based on our measurements and experimentation on real networks we conclude that our model is easy to apply and of adequate accuracy.

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Section: Introductionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Practical power modeling of data transmission over 802.11g for wireless applications

Xiao

Savolainen

Karppanen

et al. 2010

Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking

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“…Singh et al [21] measured the energy consumption of the variants of TCP (i.e., Reno, Newreno, SACK, and ECN-ELFN) in ad-hoc networks, and showed that ECN-EFLN has a lower energy cost than the others. These studies also show that since TCP employs a complicated mechanism for congestion control and error recovery, modeling its exact energy consumption remains an open problem.…”

Section: An Energy Consumption Framework For Distributed Java-based Smentioning

confidence: 99%

“…Recently, researchers have attempted to characterize the energy consumption of the Transmission Control Protocol (TCP) [21,27]. Singh et al [21] measured the energy consumption of the variants of TCP (i.e., Reno, Newreno, SACK, and ECN-ELFN) in ad-hoc networks, and showed that ECN-EFLN has a lower energy cost than the others.…”

Section: An Energy Consumption Framework For Distributed Java-based Smentioning

confidence: 99%

An energy consumption framework for distributed java-based systems

Seo

Malek

Medvidović

2007

Proceedings of the Twenty-Second IEEE/ACM International Conference on Automated Software Engineering

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In this paper we define and evaluate a framework for estimating the energy consumption of Java-based software systems. Our primary objective in devising the framework is to enable an engineer to make informed decisions when adapting a system's architecture, such that the energy consumption on hardware devices with a finite battery life is reduced, and the lifetime of the system's key software services increases. Our framework explicitly takes a componentbased perspective, which renders it well suited for a large class of today's distributed, dynamic, and mobile applications. The framework allows the engineer to estimate the software system's energy consumption at construction time and refine it at runtime. In a large number of distributed application scenarios, the framework showed very good precision on the whole, giving results that were within 5% (and often less) of the actually measured power losses incurred by executing the software. While our empirical evidence suggests that the framework is broadly applicable as-is, our work to date has highlighted a number of future enhancements.

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TCP-New Veno: The Energy Efficient Congestion Control in Mobile Ad-Hoc Networks

Cho

Chung

2006

Embedded and Ubiquitous Computing

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Energy Consumption of TCP in Ad Hoc Networks

Cited by 22 publications

References 14 publications

Practical power modeling of data transmission over 802.11g for wireless applications

Practical power modeling of data transmission over 802.11g for wireless applications

An energy consumption framework for distributed java-based systems

TCP-New Veno: The Energy Efficient Congestion Control in Mobile Ad-Hoc Networks

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