An accurate power analysis model based on MAC layer for the DCF of 802.11n

Ting, Kuo-Chang; Wang, Hwang-Cheng; Tseng, Chien‐Cheng; Kuo, Fang-Chang; Lai, Feipei

doi:10.1080/02533839.2012.726026

Cited by 5 publications

(12 citation statements)

References 7 publications

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“…Hence, actual values for the parameters the power consumed in idle listening, transmission, receiving, and sleeping depend on the implementation. Despite that, our analysis in based on the characteristics of MAC layer and fixed‐power model is valid in general. In summary, the new 802.11n uses MIMO orthogonal frequency‐division multiplexing (OFDM) technology to achieve high‐throughput communications, but it also suffers higher power consumption in MIMO mode with the use of a more sophisticated modulation coding scheme such as modulation coding scheme (MCS) 31.…”

Section: Modeling the Medium Access Control Behaviors In The High Thrmentioning

confidence: 93%

“…With the previous model and previous works , we can have the energy consumed in DIFS, back‐off, transmission, SIFS, ACK, and possible retransmission for collision occurrences to upload a data frame. If we sum up the energy consumptions listed in Equations (8), (10), (14), (16), (18), and (19) in , we obtain the total energy consumptions for the transmission of one frame, Total e , by

\begin{matrix} leftalign \\ rightalign-odd {T otal}_{e} & align-even = {D IFS}_{e}^{M} + {Backoff}_{e}^{M} + {T ran}_{e}^{M} + {R ecv}_{e}^{M} & rightalign-label & align-label \\ rightalign-odd & align-even + S IFS \times {i dle}_{p} + {C oll}_{e}^{M} & rightalign-label (6) \end{matrix}

where

{italicD IFS}_{e}^{M}

{italic Backoff}_{e}^{M}

{italicT ran}_{e}^{M}

{italicR ecv}_{e}^{M}

, SIFS × idle p , and

{italicC oll}_{e}^{M}

denote the energy consumed in DIFS, back‐off, transmission time, receiving time, idle listening, and collision time, respectively, to transmit a data frame when the number of active stations is M . Hence, the energy cost of DCF, ϵ b , in μJ/bit can be derived by

ϵ_{b} (P_{normalsize}) MathClass-rel= {italicT otal}_{e} MathClass-bin∕ (8 E (P_{normalsize}))

intuitively, where E ( P size ) denotes the expected size of the PPDU payload in octets.…”

Section: An Accurate Power Model Proposed Previouslymentioning

confidence: 99%

See 1 more Smart Citation

Decision of mobile devices enabling high throughput and non-high throughput medium access control of 802.11n based on the consideration of energy efficiency

Ting

Wang

Kuo

et al. 2012

Wirel. Commun. Mob. Comput.

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To be compatible with the legacy 802.11, there are two major medium access control (MAC) behaviors, high throughput (HT) and non‐high throughput (non‐HT), in the 802.11n. In this paper, we analyze and compare the energy efficiencies of different MAC behaviors in 802.11n on the basis of the Bianchi model and our previous works to evaluate the performance of the different MAC behaviors regarding HT and non‐HT. Our studies try to provide the decision for the mobile stations to enable the HT of 802.11n or not based on the consideration of energy efficiency. Studies show that owing to the large power consumption in HT, it is not suitable for limited power devices to carry WWW traffics by multiple‐input multiple‐output transmission because of large overheads of physical layer in the HT mode. However, if large file transmissions by File Transfer Protocol are considered, the energy efficiency in HT MAC can be very high because of the large aggregated frame size. It is especially true when the number of active stations is large because of the decrease in idle listening time by using the techniques applied in HT MAC such as Aggregate MAC Protocol Data Unit and Block‐ACK. These characteristics in the HT mode can overwhelm the larger overheads of physical layer compared with that in the non‐HT mode when large files are needed to be uploaded. Copyright © 2012 John Wiley & Sons, Ltd.

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Section: Modeling the Medium Access Control Behaviors In The High Thrmentioning

confidence: 93%

\begin{matrix} leftalign \\ rightalign-odd {T otal}_{e} & align-even = {D IFS}_{e}^{M} + {Backoff}_{e}^{M} + {T ran}_{e}^{M} + {R ecv}_{e}^{M} & rightalign-label & align-label \\ rightalign-odd & align-even + S IFS \times {i dle}_{p} + {C oll}_{e}^{M} & rightalign-label (6) \end{matrix}

where

{italicD IFS}_{e}^{M}

{italic Backoff}_{e}^{M}

{italicT ran}_{e}^{M}

{italicR ecv}_{e}^{M}

, SIFS × idle p , and

{italicC oll}_{e}^{M}

ϵ_{b} (P_{normalsize}) MathClass-rel= {italicT otal}_{e} MathClass-bin∕ (8 E (P_{normalsize}))

intuitively, where E ( P size ) denotes the expected size of the PPDU payload in octets.…”

Section: An Accurate Power Model Proposed Previouslymentioning

confidence: 99%

Decision of mobile devices enabling high throughput and non-high throughput medium access control of 802.11n based on the consideration of energy efficiency

Ting

Wang

Kuo

et al. 2012

Wirel. Commun. Mob. Comput.

Self Cite

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show abstract

“…There are some other energy consumption models in the literature such as [27,28,29,30]. Most of them try to optimize the energy consumption at the physical layer.…”

Section: Energy Consumption Modelmentioning

confidence: 99%

A distributed lifetime guaranteed mechanism in cooperative personal networks

Shi

Prasad

Niemegeers

2013

Computers & Electrical Engineering

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“…Secondly, the next generation WLAN, 802.11n, will have an ultra-high PHY data rate, so the data time will be very short compared to the DIFS and back-off time. Hence, the energy efficiency and throughput will be very low ( [55] [56] [58] [59] [60]), also because the data frame will be very short. In order to shorten the idle listening time, an intelligent idle listening is proposed and discussed in the latter subsection.…”

Section: The Dcf Of 80211mentioning

confidence: 99%