Analysis of a refined model for the IEEE 802.11 distributed coordination function

Ahuja, Aditya; Krishna, P. Venkata; Saritha, V.

doi:10.1504/ijcnds.2013.050508

Cited by 7 publications

(3 citation statements)

References 12 publications

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“…The work was extended in [25], in which a thorough analysis of the DCF mechanism was given. In [28] the authors have provided an efficient algorithm for decreasing the backoff counter is proposed for the IEEE 802.11 standard which takes into consideration the anomalous slots.…”

Section: A Dtmc-based Analysis Of Previous Mac Standardsmentioning

confidence: 99%

Performance Analysis of IEEE 802.15.6 MAC Protocol under Non-Ideal Channel Conditions and Saturated Traffic Regime

Sarkar

Misra

Bandyopadhyay

et al. 2015

IEEE Trans. Comput.

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Recently, the IEEE 802.15.6 Task Group introduced a new wireless communication standard that provides a suitable framework specifically to support the requirements of wireless body area networks (WBANs). The standardization dictates the physical (PHY) layer and medium access control (MAC) layer protocols for WBAN-based communications. Unlike the preexisting wireless communication standards, IEEE 802.15.6 standardization supports short-range, extremely low power wireless communication with high quality of service and support for high data rates upto 10 Mbps in the vicinity of living tissues. In this work, we construct a discrete-time Markov chain (DTMC) that efficiently depicts the states of an IEEE 802.15.6 CSMA/CAbased WBAN. Following this, we put forward a thorough analysis of the standard in terms of reliability, throughput, average delay, and power consumption. The work concerns non-ideal channel characteristics and a saturated network traffic regime. The major shortcoming of the existing literature on Markov chain-based analysis of IEEE 802.15.6 is that the authors did not take into consideration the time spent by a node awaiting the acknowledgement frame after transmission of a packet, until time-out occurs. Also, most of the work assume that ideal channel characteristics persist for the network which is hardly the case in practice. This work remains distinctive as we take into account the waiting time of a node after it transmits a packet while constructing the DTMC. Based on the DTMC, we perform a user priority (UP)-wise analysis, and justify the importance of the standard from a medical perspective.

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Section: A Dtmc-based Analysis Of Previous Mac Standardsmentioning

confidence: 99%

Performance Analysis of IEEE 802.15.6 MAC Protocol under Non-Ideal Channel Conditions and Saturated Traffic Regime

Sarkar

Misra

Bandyopadhyay

et al. 2015

IEEE Trans. Comput.

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“…Engelestad et al 12 presented a mathematical model considering throughput, delay, and frame drop probabilities for both saturated and non-saturated channel traffic. Other works [13][14][15] extended the proposed models to study the basic 802.11 DCF mechanism in error prone channels.…”

Section: Related Workmentioning

confidence: 99%

Enhanced characterization and modeling of A‐MPDU aggregation for IEEE 802.11n WLANs

Jabri

Mansour

Al‐Oqily

et al. 2021

Trans Emerging Tel Tech

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The MAC protocol data unit aggregation (A-MPDU) and Block Acknowledgment (Block Ack) techniques are probably the most relevant 802.11 MAC layer enhancements. In spite of being tremendously studied in the literature, recent research activities have revealed that the available analytical models for those techniques do not capture the impact of the Block Ack window limit on the aggregated frame size. This provokes errors in the estimation of the average aggregation size that raise up to 190% in erroneous environments. Throughout this work, we use Markovian techniques to design a more accurate model for 802.11n MAC layer. Our model reflects the impact of the conventional A-MPDU acknowledgment method on the A-MPDU aggregation size. The accuracy of our model has been validated through ns-3 simulations. A comparison with two analytical models of 802.11n MAC sub-layer has been also carried on. In depth analysis have been conducted to investigate the behavior of A-MPDU aggregation scheme under different channel conditions and its impact on the overall network performance. Assessments have shown that our model is more rigorous than existing models. Besides, we have proved that A-MPDU frame aggregation technique is extremely sensitive to channel conditions variation because of the effect of the Block Ack window limit on the maximum aggregation size. INTRODUCTIONFace to the contemporary trends of applications and developments in actual network technologies like Internet of Things, Fog Computing, VANETs, and 5G networks, the 802.11-based wireless local area networks (WLANs) encounters new challenges. 1,2 Thus many advanced communication techniques have been introduced at the physical (PHY) layer to boost the data rates, such as orthogonal frequency division multiplexing (OFDM), multiple input multiple output (MIMO) technique, beamforming and the use of wider bandwidth. 3,4 However, it has been proved in Reference 5 that the legacy IEEE 802.11 channel access method and the control frame exchange overhead are the major limits to optimize the 802.11-based networks' performance. Therefore the IEEE 802.11n amendment, known also as high throughput (HT) amendment has introduced frame aggregation technique to mitigate to the constraints imposed by the MAC layer specifications and take full benefit from the advanced PHY layer techniques. This technique permits to aggregate many frames as one large frame and to treat them as a single frame during transmission. 2 We distinguish MAC service data unit aggregation (A-MSDU) and MAC protocol data unit aggregation (A-MPDU). The former consists in combining multiple MSDUs of the same 802.11e access category into a single MAC frame (MPDU). Whereas the later is performed at the bottom of the MAC layer, after the insertion of the MAC header and

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“…3.I n [ 21], authors review the long run stochastic stability of discrete In CSMA/CA, distributed coordination function (DCF) is used to avoid the collisions and provide fair access to the channel. In [23], authors have rigorously analysed a refined model for the IEEE 802.11 DCF. Each of the channel contending nodes senses the channel after distributed inter-frame space, if the channel is idle and its backoff counter value is zero, the node is allowed to continue its transmission.…”

Section: Node Distributionmentioning

confidence: 99%

Random room mobility model and extra‐wireless body area network communication in hospital buildings

et al. 2015

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Wireless body area networks (WBANs) can help in enabling efficient patient monitoring solution for ubiquitous healthcare. Communication in WBANs is undertaken in two phases: intra-WBAN and extra-WBAN. The prevailing WBANs use cellular network or WiFi in the extra-WBAN phase involving communication between the on-body coordinator and access points (APs) connected to the medical server through the internet. The medical applications of the WBANs have stringent requirements of low end-to-end delay and high packet delivery ratio. The authors evaluate the performance of extra-WBAN communication in the network of WBANs which is deployed within a building environment. They proposed a mobility model named random room mobility (RRM), which is used to capture the dynamics of WBAN user mobility within the building. They studied the performance of extra-WBAN communication using the proposed mobility model and a random waypoint mobility model. The metrics used in evaluating the performance are packet drop ratio, average node-to-AP delay and average residual energy per node. The authors show that with an increase in the number of WBANs, the traffic generation rate and the payload size have high impact on the packet loss in the network. They studied the performance of extra-WBAN communication using the priority mode available in IEEE 802.11 for provisioning quality-of-service (QoS). We show that it is suitable for medical applications, when the size of network consisting of WBANs, including the QoS-enabled WBANs, is small.

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Analysis of a refined model for the IEEE 802.11 distributed coordination function

Cited by 7 publications

References 12 publications

Performance Analysis of IEEE 802.15.6 MAC Protocol under Non-Ideal Channel Conditions and Saturated Traffic Regime

Performance Analysis of IEEE 802.15.6 MAC Protocol under Non-Ideal Channel Conditions and Saturated Traffic Regime

Enhanced characterization and modeling of A‐MPDU aggregation for IEEE 802.11n WLANs

Random room mobility model and extra‐wireless body area network communication in hospital buildings

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