Energy efficiency modeling for IEEE 802.11 DCF system without retry limits

Kuo, Wen-Kuang

doi:10.1016/j.comcom.2006.10.005

Cited by 7 publications

(6 citation statements)

References 6 publications

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“…(5) There is no post back-off, so that every packet experiences at least one back-off period. (6) The transmission buffer size of each station is finite, and the buffer size is measured in units of packets denoted as K. (7) Whenever a station transmit a packet, the probability of collision is fixed and independent of its past transmission history.…”

Section: Assumptions and Definitionsmentioning

confidence: 99%

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A Generalized Markov Chain Model for IEEE 802.11 Distributed Coordination Function

Zhong¹

2012

KSII TIIS

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To improve the accuracy and enhance the applicability of existing models, this paper proposes a generalized Markov chain model for IEEE 802.11 Distributed Coordination Function (DCF) under the widely adopted assumption of ideal transmission channel. The IEEE 802.11 DCF is modeled by a two dimensional Markov chain, which takes into account unsaturated traffic, backoff freezing, retry limits, the difference between maximum retransmission count and maximum backoff exponent, and limited buffer size based on the M/G/1/K queuing model. We show that existing models can be treated as special cases of the proposed generalized model. Furthermore, simulation results validate the accuracy of the proposed model.

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Section: Assumptions and Definitionsmentioning

confidence: 99%

“…W.K. Kuo [7] built an energy consumption model based on the extended Bianchi's model with backoff freezing.…”

Section: Introductionmentioning

confidence: 99%

A Generalized Markov Chain Model for IEEE 802.11 Distributed Coordination Function

Zhong¹

2012

KSII TIIS

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“…The binary exponential backoff mechanism (BEB) is ignored in [19], whereas BEB is approximated by a p-persistent model in [20] for saturated traffic conditions. Analytical energy models which consider the BEB and account for the IEEE 802.11 DCF protocol by encapsulating the carrier sensing, collisions, and freezing mechanism in backoff are proposed with infinite retry limit in [21] and finite retry limit in [22] and [23] under saturated traffic conditions. Despite various models for energy consumption in single-hop networks [19], [20], [21], [22], [23], energy consumption in IEEE 802.11 DCF based wireless multi-hop networks has not been analytically modeled so far.…”

Section: Introductionmentioning

confidence: 99%

“…Energy consumption of IEEE 802.11 DCF in single-hop networks is analyzed in [19], [20], [21], [22], [23]. The binary exponential backoff mechanism (BEB) is ignored in [19], whereas BEB is approximated by a p-persistent model in [20] for saturated traffic conditions.…”

Section: Introductionmentioning

confidence: 99%

An Analysis of IEEE 802.11 DCF and Its Application to Energy-Efficient Relaying in Multihop Wireless Networks

Aydoğdu

Karasan

2011

IEEE Trans. on Mobile Comput.

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We present an analytical model for the IEEE 802.11 DCF in multihop wireless networks that considers hidden terminals and accurately works for a large range of traffic loads. An energy model, which considers energy consumption due to collisions, retransmissions, exponential backoff and freezing mechanisms, and overhearing of nodes, and the proposed IEEE 802.11 DCF analytical model are used to analyze the energy consumption of various relaying strategies. The results show that the energy-efficient relaying strategy depends significantly on the traffic load. Under light traffic, energy spent during idle mode dominates, making any relaying strategy nearly optimal. Under moderate traffic, energy spent during idle and receive modes dominates and multihop transmissions become more advantageous where the optimal hop number varies with processing power consumed at relay nodes. Under very heavy traffic, where multihopping becomes unstable due to increased collisions, direct transmission becomes more energy efficient. The choice of relaying strategy is observed to affect energy efficiency more for large and homogeneous networks where it is beneficial to use multiple short hops each covering similar distances. The results indicate that a cross-layered relaying approach, which dynamically changes the relaying strategy, can substantially save energy as the network traffic load changes in time.Index Terms-IEEE 802.11 DCF, analytical model, energy-efficient relaying, multihop wireless networks, hidden terminal.

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“…The performance of the DCF has been analyzed in numerous papers (Banchs, Serrano, & Azcorra, 2006;Bianchi, 2000;David, Ken, & Doug, 2007;Kuo, 2007). Clearly, the DCF has several limitations.…”

Section: Introductionmentioning

confidence: 99%

Improving WLAN Performance by Modifying an IEEE 802.11 Protocol

Sarkar

2011

International Journal of Wireless Networks and Broadband Technologies

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One of the limitations of the IEEE 802.11 distributed coordination function (DCF) protocol is its low bandwidth utilization under medium-to-high traffic loads resulting in low throughput and high packet delay. To overcome performance problems, traditional IEEE 802.11 DCF (“DCF”) protocol is modified to the buffer unit multiple access (BUMA) protocol. The BUMA protocol achieves a better system performance by introducing a temporary buffer unit at the medium access control (MAC) layer to accumulate multiple packets and combine them into a single packet (with a header and a trailer) before transmission. This paper provides an in-depth performance evaluation (by simulation) of BUMA for multiuser ad hoc and infrastructure networks. Results obtained show that the BUMA is more efficient than that of DCF. The BUMA protocol is simple and its algorithm (software) can be upgraded to 802.11 networks requiring no hardware changes. The BUMA protocol is described and simulation results are presented to verify the performance.

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Energy efficiency modeling for IEEE 802.11 DCF system without retry limits

Cited by 7 publications

References 6 publications

A Generalized Markov Chain Model for IEEE 802.11 Distributed Coordination Function

A Generalized Markov Chain Model for IEEE 802.11 Distributed Coordination Function

An Analysis of IEEE 802.11 DCF and Its Application to Energy-Efficient Relaying in Multihop Wireless Networks

Improving WLAN Performance by Modifying an IEEE 802.11 Protocol

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