A Simple but Effective Contention Aware and Adaptive Back-off Mechanism for Improving the Performance of IEEE 802.11 DCF

Patel, Pushpendra; Lobiyal, D. K.

doi:10.1007/s11277-015-2477-0

Cited by 8 publications

(2 citation statements)

References 29 publications

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“…While DCF is able to provide high throughput in networks with small number of active stations ( < 6), it is known to exhibit throughput degradation if the number of stations increases [7,44]. To address this problem, different solutions have been presented in the literature.…”

Section: 11 Distributed Coordination Function (Dcf)mentioning

confidence: 99%

Design and Modeling of Self‐Adapting MAC (SaMAC) Protocol with Inconstant Contention Loss Probabilities

Kristić

Ožegović

Kedzo

2018

Wireless Communications and Mobile Computing

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Networks based on IEEE 802.11 standard are one of the main options for deployment in industrial environment. Degradation of throughput in congested networks and short-term unfairness are well-known drawbacks of 802.11 DCF and similar MAC protocols. Those shortcomings represent significant limitation in forecasted growth of wireless usage. This is especially important in industrial wireless networks (IWN) where the scalability of wireless MAC is one of the main requirements. In this paper, a novel self-adapting MAC protocol (SaMAC) is defined and mathematically modeled. SaMAC employs constrained countdown freezing enhanced with shifted window mechanism. As a result, the protocol outperforms 802.11 DCF standard as well as shifted contention window (SCW) and constrained countdown freezing (CPCF) protocols in achieved throughput, fairness, and jitter, while keeping simple implementation. Despite protocol’s simple design, it is shown that its mathematical model is extremely complex. For proposed protocol, the assumption of constant contention loss probability, which is normally used for modeling of MAC schemes, does not hold. In the presented multidimensional Markov chain model, a unique iterative method for determining contention loss probability is developed as well as a method for throughput calculation based on such a chain. Accuracy of the presented model is verified in several network scenarios. Considering the performance of the proposed protocol, authors believe that it could be of benefit to deploy it in heavily loaded wireless networks with timing constraints, such as IWNs.

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Section: 11 Distributed Coordination Function (Dcf)mentioning

confidence: 99%

Design and Modeling of Self‐Adapting MAC (SaMAC) Protocol with Inconstant Contention Loss Probabilities

Kristić

Ožegović

Kedzo

2018

Wireless Communications and Mobile Computing

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show abstract

“…Literature [3] solves this kind of problem by applying another Markov chain model, deriving the formula (2)(3)(4)(5)(6)(7)(8)(9)(10)(11).…”

Section: Introductionmentioning

confidence: 99%

The energy-efficient MDA-SMAC protocol for wireless sensor networks

Wang

Xin²,

Shi

et al. 2020

J Wireless Com Network

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Nodes in original S-MAC protocol just can visit the channel in the scheduling and listening stage. The working schema may result in data latency and high conflict. To solve those above problems, we split scheduling duty into multiple micro-duties. By using different micro-dispersed contention channel, the sensor nodes reduce the collision probability of the data. Aiming at detecting the fixed duty cycle in S-MAC protocol, on the basis of the micro-duty and buffer queue length, this paper presents an adaptive duty cycle and back-off algorithm. While using different back-off algorithm with different duty cycles, sensor node Fast-Binary Exponential Backoff and Conflict-Avoid-Binary exponential Backoff algorithm separated are applied to reduce data latency further reduce the conflict probability. Combining both of the improvements, we propose a modified S-MAC protocol. Comparing the performance of S-MAC protocol and Division-Multiple Access-Media Access Control (MDA-SMAC) protocol on the NS-2 simulation platform, the results show that MDA-SMAC protocol performs better in terms of energy consumption, latency, and effective throughput than S-MAC protocol

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Reanalyzing a simplified Markov model for the low-density P2P wireless sensor and actuator networks

Maadani

2018

Telecommun Syst

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A Simple but Effective Contention Aware and Adaptive Back-off Mechanism for Improving the Performance of IEEE 802.11 DCF

Cited by 8 publications

References 29 publications

Design and Modeling of Self‐Adapting MAC (SaMAC) Protocol with Inconstant Contention Loss Probabilities

Design and Modeling of Self‐Adapting MAC (SaMAC) Protocol with Inconstant Contention Loss Probabilities

The energy-efficient MDA-SMAC protocol for wireless sensor networks

Reanalyzing a simplified Markov model for the low-density P2P wireless sensor and actuator networks

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