Energy consumption model and measurement results for network coding-enabled IEEE 802.11 meshed wireless networks

Paramanathan, Achuthan; Rasmussen, Ulrik Wilken; Hundeboll, Martin; Rein, Stephan; Fitzek, Frank H. P.; Ertli, Gergo

doi:10.1109/camad.2012.6335352

Cited by 9 publications

(2 citation statements)

References 12 publications

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“…A similar approach is implemented by CATWOMAN in [3], which shows results similar to COPE. Furthermore, CATWOMAN has been evaluated with respect to energy efficiency in [4] and [5], and also confirms analytical results in [6].…”

Section: Introductionmentioning

confidence: 71%

Impact of network coding on delay and throughput in practical wireless chain topologies

Hundeboll

Rein

Fitzek

2013

2013 IEEE 10th Consumer Communications and Networking Conference (CCNC)

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Abstract-In this paper, we present results from a practical evaluation of network coding in a setup consisting of eight nodes deployed in a chain topology. With the tradition pure relaying, delay increases dramatically as the network gets congested, and here network coding helps to moderate this increase in delay, as well improving throughput. The practical evaluation shows that network coding provides up to a five-fold decrease in delay, while retaining the expected gain in throughput. To address an unecessary delay when using network coding in lowload scenarios, we propose and evaluate a scheme for adaptive buffering. With this, we show that the benefits from pure relaying can be combined with the improved performance from network coding. The software used to apply network coding and evaluate this in a practical network is made publicly available for further research and tests.

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Section: Introductionmentioning

confidence: 71%

Impact of network coding on delay and throughput in practical wireless chain topologies

Hundeboll

Rein

Fitzek

2013

2013 IEEE 10th Consumer Communications and Networking Conference (CCNC)

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“…We rely on the activity charts to characterize these metrics as well as in real measurements on the CATWOMAN testbed [2]. We determine the power level for sending by configuring the node to transmit at its highest data rate and measuring its power consumption with the tool described in [6]. Using similar measurements to determine the receive and idle power levels, we determined that the power for sending, receiving, and idle are P s = 3.48 W, P r = 3.24 W, and P i = 2.94 W, respectively.…”

Section: Energy Evaluationmentioning

confidence: 99%

Network Coding in the Bidirectional Cross: A Case Study for the System Throughput and Energy

Ertli¹,

Paramanathan

Rein

et al. 2013

2013 IEEE 77th Vehicular Technology Conference (VTC Spring)

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This paper presents a detailed performance evaluation of inter-session network coding in wireless meshed networks in terms of throughput and energy consumption. A full analytical model is given for three different communication approaches for the bidirectional cross topology using an IEEE 802.11 medium access. One of the three approaches is pure relaying, while the other two approaches are using network coding with and without overhearing of other flows. The main outcome of the paper is that network coding without and with overhearing can increase the throughput by the factor of two and four, respectively, for high load scenarios. Furthermore we show that the energy/bit ratio is decreased by the use of network coding approaches, underlining that the added complexity of network coding pays off when considering the overall system.

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Network Coding for Mobile Clouds

Fitzek

Katz

2013

Mobile Clouds

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Energy consumption model and measurement results for network coding-enabled IEEE 802.11 meshed wireless networks

Cited by 9 publications

References 12 publications

Impact of network coding on delay and throughput in practical wireless chain topologies

Impact of network coding on delay and throughput in practical wireless chain topologies

Network Coding in the Bidirectional Cross: A Case Study for the System Throughput and Energy

Network Coding for Mobile Clouds

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