Energy/throughput tradeoffs of TCP error control strategies

Tsaoussidis, Vassilis; Badr, Hussein; Ge, Xiaohua; Pentikousis, Konstantinos Michael

doi:10.1109/iscc.2000.860618

Cited by 48 publications

(29 citation statements)

References 12 publications

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“…The results showed that some header options designed for long fat networks such as the window scale option and header prediction could be turned off in wireless networks to save energy. In addition, [11] discussed the tradeoff between energy consumption and network throughput when using different error control strategies. Based on the energy analysis, several modified versions of TCP such as TCP-probing [12] have been proposed to reduce the energy cost of data transmission by improving the network throughput.…”

Section: Related Workmentioning

confidence: 99%

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: Related Workmentioning

confidence: 99%

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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“…The radio energy costs include the transmission and reception costs only (i.e., we discount the idle radio energy cost because, as noted in [22], in the case of low throughput the idle cost would dominate all others).…”

Section: Results and Analysismentioning

confidence: 99%

Computational energy cost of TCP

Wang

Singh

2004

Ieee Infocom 2004

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Abstract-In this paper1,2,3 , we present results from a detailed energy measurement study of TCP. We focus on the nodelevel cost of the TCP protocol and obtain a breakdown of the energy cost of different TCP functions. We analyze the energy consumption of TCP on two platforms (laptop and iPAQ) and three operating systems (FreeBSD 4.2, 5 and Linux 2.4.7). Our results show that 60 -70% of the energy cost (for transmission or reception) is accounted for by the Kernel -NIC (Network Interface Card) copy operation. Of the remainder, ∼15% is accounted for in the copy operation from user space to kernel space with the remaining 15% being accounted for by TCP processing costs. We then further analyze the 15% TCP processing cost and show that the cost of computing checksums accounts for 20 -30% of TCP processing cost. Finally, we determine the processing costs of two primary TCP functions -timeouts and triple duplicate ACKs. Putting all these costs together, we present techniques whereby energy savings of between 20% -30% in the computational cost of TCP can be achieved.

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“…This is the layer that is responsible for congestion control in a network, and without proper management, it can increase the energy consumption of the network. The energy management in the transport layer is critical due to the complexity of network structure [114], [115].…”

Section: Ee Tradeoffs In Transport Layermentioning

confidence: 99%

Energy Efficiency Tradeoff Mechanism Towards Wireless Green Communication: A Survey

Mahapatra¹,

Nijsure

Kaddoum

et al. 2016

IEEE Commun. Surv. Tutorials

191

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Abstract-Energy efficient (EE) communication has earnedtremendous interest in recent years due to ever increasing number of wireless devices operating in shrinking cells, while demanding high data rates with high Quality of Services (QoS) and Quality of Expectation (QoE). To support these objectives, energy is consumed in every protocol layer. Establishing and maintaining a successful wireless communication link to simultaneously achieve all these objectives becomes challenging since the energy consumption requirements of the user and network are different for different objectives. Thus, there is a need for tradeoff techniques to achieve energy efficiency in each protocol layer. In this paper, we provide a survey of different tradeoff mechanisms proposed in the literature. The EE tradeoffs have been classified based on each protocol layer and discussed its affect in the network energy efficiency. These other QoS parameters include spectral efficiency, deployment, delay, routing, scheduling, bandwidth and coding etc. This survey also discusses the various EE techniques to improve energy-efficiency in infrastructure mode. Finally, the work provides an discussion, where impact of EE tradeoffs have been presented based on different wireless architecture towards realizing a green wireless communication network.

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Energy/throughput tradeoffs of TCP error control strategies

Cited by 48 publications

References 12 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

Computational energy cost of TCP

Energy Efficiency Tradeoff Mechanism Towards Wireless Green Communication: A Survey

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