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Journal articles on the topic 'EDCA'

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Published: 4 June 2021

Last updated: 20 February 2023

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1

Zhou, Jin Hua, Lei Lei, Wei Kang Liu, and Li Bin Tao. "Simulation Implementation and Performance Analysis of IEEE 802.11e EDCA Protocol." Applied Mechanics and Materials 58-60 (June 2011): 1429–34. http://dx.doi.org/10.4028/www.scientific.net/amm.58-60.1429.

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In this paper, we focus on IEEE 802.11e enhanced distributed channel access (EDCA) protocol, which can provide QoS guarantee for multimedia applications in mobile ad hoc networks. First, we briefly explain the concept of EDCA protocol. Then we implement EDCA protocol in GloMoSim via configuring special contention parameters for multimedia applications and introducing a virtual collision disposal mechanism in the MAC layer. In the end, we provide performance analysis for EDCA protocol through plentiful simulations. The simulation results show an excellent performance of the EDCA protocol we proposed.

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2

Wen, Jyh-Horng, and Chien-Erh Weng. "Performance Evaluation of IEEE 1609 WAVE for Vehicular Communications." International Journal of Vehicular Technology 2013 (May 7, 2013): 1–8. http://dx.doi.org/10.1155/2013/846016.

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In IEEE 1609, it uses IEEE 802.11 Enhanced Distributed Channel Access (EDCA) mechanism to access the channel. IEEE 802.11 EDCA is a new wireless technology for wireless access in the vehicular environment (WAVE). It defines a new supplement to the existing IEEE 802.11 MAC protocol. In IEEE 802.11 EDCA, the aim is providing a QoS support. While the system serves different access categories (ACs), EDCA does not perform well under high load conditions. In order to improve the efficiency, we pay attention to the EDCA with transmit opportunity (TXOP) mechanism. We first proposed a Markov chain model and studied the behavior. We extend the model to support IEEE 802.11 EDCA and presented a more accurate analysis under nonideal channel environment. We also compared it with that without TXOP mechanism under channel error environment.

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3

Hidayat, Taufik, Zulfan Zulfan, Munawir Munawir, and Susmanto Susmanto. "Perbandingan Metode Antrian Paket HTB dan EDCA Untuk Layanan Multimedia Pada WLAN IEEE 802.11n." Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) 3, no. 2 (October 16, 2020): 132–43. http://dx.doi.org/10.32672/jnkti.v3i2.2339.

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The development of wireless technology continues to improve quality and increase the speed of data transfer into one important factor that is considered. Each year, wireless technology users continue to increase and communication service needs also experience tremendous traffic surge. The impact of high traffic intensity of data sent can lead to increased data queue and transient transmission network. The problem of network crunch resulting from a high amount of queue data may affect service performance. To get the solution, in this study was tested using Hierarchy Token Bucket (HTB) and Enhanced Distributed Channel Access (EDCA) on 802.11n wireless network. Queuing tests are performed on four types of traffic: voice, video, best effort (BE) and background (BG). Assessment of QoS of HTB and EDCA is based on throughput and delay parameters. The results obtained from throughput testing of the mean value of each data packet, the results show that the EDCA method is better than HTB method. The best throughput results are given on Best Effort(BE) traffic. While on the delay test by using HTB and EDCA method, obtained the average of EDCA delay smaller in multimedia data packet for Video and Voice. In conclusion, the results show that the EDCA method is better than HTB.

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4

Lee, Yu Tae. "Throughput Analysis for IEEE 802.11e Enhanced Distributed Channel Access." Applied Mechanics and Materials 284-287 (January 2013): 2799–804. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.2799.

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With the increasing demand of wireless local area networks, the support of differentiated Quality of Service (QoS) has become one of the critical issues on IEEE 802.11 medium access control protocols. To support the differentiated QoS requirements, IEEE 802.11e has been standardized. IEEE 802.11e defines Enhanced Distributed Channel Access (EDCA) for access mechanism, which is a contention based channel access method and delivers traffic based on differentiated access categories for the support of QoS. This paper introduces a three dimensional Markov chain model to evaluate the performance of IEEE 802.11e EDCA mechanism with an arbitrary number of different access categories. The proposed analytical model captures the major QoS specific features in the IEEE 802.11e EDCA and hence can provide a numerical approach to pick the set of EDCA parameter values to meet the QoS requirements of each access category. The results of our proposed analytical model are verified using simulations.

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5

BENSAOU, BRAHIM, ZHEN-NING KONG, and DANNY H. K. TSANG. "A MEASUREMENT-ASSISTED, MODEL-BASED ADMISSION CONTROL ALGORITHM FOR IEEE 802.11E." Journal of Interconnection Networks 10, no. 04 (December 2009): 303–20. http://dx.doi.org/10.1142/s0219265909002595.

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The IEEE 802.11e Enhanced Distributed Channel Access (EDCA) is designed to provide differentiated services without real hard performance guarantees, such as bandwidth and delay bounds in wireless LANs. In this paper we design a measurement-assisted, model-based call admission control (MM-CAC) scheme to support guaranteed QoS in the EDCA. For this purpose, we first develop an accurate analytical model of the legacy IEEE 802.11 DCF under non-saturation conditions; then using this model, we define the concept of equivalent number of competing entities, to convert a heterogeneous (multi-class) EDCA network into an equivalent homogeneous network and study traffic classes in isolation. Our analytical model is then invoked to decide to admit a new flow or reject it with much little computational complexity as compared to a fully fledged EDCA model. Numerical results validate our model and analysis, and simulations demonstrate the effectiveness of our MM-CAC scheme.

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6

Ryu, Jiho, Yongho Seok, Nakjung Choi, Taekyoung Kwon, and Yanghee Choi. "S-EDCA: EDCA based on SuperSlot and Pseudo Collision." ACM SIGMOBILE Mobile Computing and Communications Review 10, no. 4 (October 2006): 15–16. http://dx.doi.org/10.1145/1215976.1215984.

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7

Patlán Pérez, Juana. "Construcción y validación de una Escala Demanda-Control-Apoyo para medir el estrés laboral." Revista Medica Herediana 33, no. 1 (March 31, 2022): 24–34. http://dx.doi.org/10.20453/rmh.v33i1.4165.

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Objetivo: Diseñar y construir un instrumento para medir el estrés laboral de acuerdo con el Modelo Demanda- Control-Apoyo (MDCA) de Karasek, así como estimar sus propiedades psicométricas. Material y métodos: Las etapas efectuadas para la construcción de la Escala Demanda-Control-Apoyo (EDCA) y para determinar sus propiedades psicométricas fueron las siguientes: a) Revisión sistemática a la literatura, b) determinación de los factores y estructura factorial de la EDCA, c) Aplicación de las redes semánticas naturales (RSN) para identificar los significados psicológicos de los factores que conforman la escala, d) Contrastación de los resultados obtenidos en la revisión a la literatura y de las RSN, e) Elaboración del banco de reactivos, f) Validez Inter jueces aplicado a 60 jueces expertos, g) Integración de la EDCA, h) Aplicación de la EDCA a una muestra de 619 trabajadores. Resultados: La EDCA presentó adecuados niveles de validez de constructo y de confiabilidad con valores de Alpha de Cronbach entre 0,711 y 0,890. El índice de tensión laboral correlacionó positiva y significativamente con las demandas laborales y negativamente con el control sobre el trabajo. Se identificó un índice de tensión laboral promedio más alto y significativo en trabajadores que presentan algunos trastornos y síntomas psicosomáticos. Conclusiones: Se obtuvo una escala válida y confiable que permite ser utilizada para evaluaciones del estrés laboral.

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8

Li, Hong, Qiong Wu, Jing Fan, Qiang Fan, Bo Chang, and Guilu Wu. "Real-Time Performance Evaluation of IEEE 802.11p EDCA Mechanism for IoV in a Highway Environment." Wireless Communications and Mobile Computing 2020 (August 28, 2020): 1–10. http://dx.doi.org/10.1155/2020/8848477.

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With the development of 5G, the Internet of Vehicles (IoV) evolves to be one important component of the Internet of Things (IoT), where vehicles and public infrastructure communicate with each other through a IEEE 802.11p EDCA mechanism to support four access categories (ACs) to access a channel. Due to the mobility of the vehicles, the network topology is time varying and thus incurs a dynamic network performance. There are many works on the stationary performance of 802.11p EDCA and some on real-time performance, but existing work does not consider real-time performance under extreme highway scenario. In this paper, we consider four ACs defined in the 802.11p EDCA mechanism to evaluate the limit of the real-time network performance in an extreme highway scenario, i.e., all vehicles keep the minimum safety distance between each other. The performance of the model has been demonstrated through simulations. It is found that some ACs can meet real-time requirements while others cannot in the extreme scenario.

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9

Hieu, Luong Duy, Bui The Tung, Pham Thanh Giang, Thai Quang Vinh, and Le Nam. "Improving Fairness in IEEE 802.11 EDCA Ad Hoc Networks Based on Fuzzy Logic." Journal of Advanced Computational Intelligence and Intelligent Informatics 24, no. 5 (September 20, 2020): 615–20. http://dx.doi.org/10.20965/jaciii.2020.p0615.

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Wireless ad hoc network is a self-configurable and dynamically distributed network in which stations can move freely. In the ad hoc network, some flows have difficulty in accessing the channel due to contention at both the medium-access control (MAC) and link layers. The IEEE 802.11 protocol is currently the de facto standard for wireless networks. It uses enhanced distributed channel access (EDCA) method to access the transmission environment of each type of data flow. The size of the contention window (CW) in EDCA is related to the probability of accessing the channel of each flow. In our approach, useful information is obtained from the physical, MAC, and link layers. A fuzzy logic system is then used to adjust the size of CW to rely on such value, thereby improving the fairness index of data flows (voice, video, best effort) in IEEE 802.11 EDCA. The simulation results show that the proposed method can improve the throughput and fairness index of data flows.

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10

Mammar, Soulimane, Hafid Haffaf, and Kamel Rahmouni. "Network Condition-Aware Enhanced Distributed Channel Access for IEEE 802.11e Wireless Ad-Hoc Networks." Applied Computer Systems 27, no. 2 (December 1, 2022): 190–97. http://dx.doi.org/10.2478/acss-2022-0020.

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Abstract The increasing use of multimedia applications in wireless ad-hoc networks makes the support of quality of service (QoS) an overriding necessity. In this article, we present a new extension of the IEEE 802.11e EDCA scheme called NCA-EDCA, which uses the lifetime and the number of retransmissions attempts of a packet to assess the aggressiveness of the environment in order to adjust the channel access parameters to work in the best possible way and improve service quality accordingly. This new extension aims to (1) improve the performance of real-time applications; (2) increase the overall throughput by reducing the collision rate and (3) achieve an acceptable level of fairness. The simulation results show that our extension significantly improves EDCA for better QoS support of multimedia applications. More specifically, it increases throughput of the different flows by no negligible factors and significantly reduces the collision rate while maintaining a high degree of fairness between flows of equal priority.

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11

Jyh-Cheng Chen and Kai-Wen Cheng. "EDCA/CA: Enhancement of IEEE 802.11e EDCA by Contention Adaption for Energy Efficiency." IEEE Transactions on Wireless Communications 7, no. 8 (August 2008): 2866–70. http://dx.doi.org/10.1109/twc.2008.070168.

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12

Khuder, Enaam F. "Performance Analysis of Industrial WLAN Based on EDCA Scheme Defined in IEEE802.11e." Tikrit Journal of Engineering Sciences 21, no. 1 (July 18, 2013): 24–34. http://dx.doi.org/10.25130/tjes.21.1.04.

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In the last few years wireless local area network (WLAN) technology and products have grownunusually. This growth has encouraged many researchers to employ WLAN technology in differentapplication Areas. Recently, using IEEE 802.11 WLAN in industrial automation applications is attractiveand more interesting. However, the currently used medium access mechanism makes WLANs nondeterministicand hence not suitable for industrial real-time traffic. Legacy IEEE 802.11 WLANs wereinitially designed for best effort traffic only and did not provide any QoS support for this kind of traffic.The new amendment IEEE 802.11e standard was introduced and ratified in 2005. It defines the concept ofa Hybrid Co-ordination Function (HCF) at the MAC layer for medium access control. HCF is acombination of HCF Controlled Channel Access (HCCA) with parameterized quality of service (QoS)and Enhanced Distribution Channel Access (EDCA) with prioritized QoS. Enhanced DistributionChannel Access (EDCA) is an enhanced version of Distributed Coordination Function )DCF( mechanismused in the original IEEE 802.11 WLAN. This paper analyze the performance of the EDCA in anindustrial automation network with real-time requirements by means of a simulation with the networksimulator OPNET 11.5 and compares the results with the DCF in terms of latency and throughput invarious scenarios.

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13

Chendeb Taher, Nada, Yacine Ghamri-Doudane, Bachar El Hassan, and Nazim Agoulmine. "An Accurate Analytical Model for 802.11e EDCA under Different Traffic Conditions with Contention-Free Bursting." Journal of Computer Networks and Communications 2011 (2011): 1–24. http://dx.doi.org/10.1155/2011/136585.

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Extensive research addressing IEEE 802.11e enhanced distributed channel access (EDCA) performance analysis, by means of analytical models, exist in the literature. Unfortunately, the currently proposed models, even though numerous, do not reach this accuracy due to the great number of simplifications that have been done. Particularly, none of these models considers the 802.11e contention free burst (CFB) mode which allows a given station to transmit a burst of frames without contention during a given transmission opportunity limit (TXOPLimit) time interval. Despite its influence on the global performance, TXOPLimit is ignored in almost all existing models. To fill in this gap, we develop in this paper a new and complete analytical model that (i) reflects the correct functioning of EDCA, (ii) includes all the 802.11e EDCA differentiation parameters, (iii) takes into account all the features of the protocol, and (iv) can be applied to all network conditions, going from nonsaturation to saturation conditions. Additionally, this model is developed in order to be used in admission control procedure, so it was designed to have a low complexity and an acceptable response time. The proposed model is validated by means of both calculations and extensive simulations.

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14

Coronado, Estefanía, José Villalón, and Antonio Garrido. "An Adaptive Medium Access Parameter Prediction Scheme for IEEE 802.11 Real-Time Applications." Wireless Communications and Mobile Computing 2017 (2017): 1–19. http://dx.doi.org/10.1155/2017/5719594.

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Multimedia communications have experienced an unprecedented growth due mainly to the increase in the content quality and the emergence of smart devices. The demand for these contents is tending towards wireless technologies. However, these transmissions are quite sensitive to network delays. Therefore, ensuring an optimum QoS level becomes of great importance. The IEEE 802.11e amendment was released to address the lack of QoS capabilities in the original IEEE 802.11 standard. Accordingly, the Enhanced Distributed Channel Access (EDCA) function was introduced, allowing it to differentiate traffic streams through a group of Medium Access Control (MAC) parameters. Although EDCA recommends a default configuration for these parameters, it has been proved that it is not optimum in many scenarios. In this work a dynamic prediction scheme for these parameters is presented. This approach ensures an appropriate traffic differentiation while maintaining compatibility with the stations without QoS support. As the APs are the only devices that use this algorithm, no changes are required to current network cards. The results show improvements in both voice and video transmissions, as well as in the QoS level of the network that the proposal achieves with regard to EDCA.

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15

Nelson, Michael D., Mark J. Haykowsky, Jonathan R. Mayne, Richard L. Jones, and Stewart R. Petersen. "Effects of self-contained breathing apparatus on ventricular function during strenuous exercise." Journal of Applied Physiology 106, no. 2 (February 2009): 395–402. http://dx.doi.org/10.1152/japplphysiol.91193.2008.

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The purpose of this study was to investigate left-ventricular function during strenuous exercise with the self-contained breathing apparatus (SCBA). With the use of two-dimensional echocardiography, images of the left ventricle (LV) were acquired during sustained exercise (3 × 10 min) under two conditions: 1) SCBA, or 2) low resistance breathing valve. Twenty healthy men volunteered for the study, and in each condition subjects wore fire protective equipment. Heart rate, systolic blood pressure, cavity areas during systole and diastole (ESCA and EDCA, respectively), esophageal pressure, ventilation rate, oxygen consumption, perceived physical, thermal and respiratory distress, and core temperature were measured at regular intervals. Urine specific gravity (<1.020 g/ml) and hematological variables were used to infer hydration status. All subjects began both trials in a euhydrated state. No differences were found between conditions for heart rate, systolic blood pressure, ventilation rate, oxygen consumption, perceived distress, or any hematological variables. Peak expiratory esophageal pressure was always higher ( P < 0.05), while EDCA and stroke area (SA) were significantly lower ( P < 0.05) with the SCBA. ESCA, end-systolic transmural pressure (ESTMP), and LV contractility (ESTMP/ESCA) were similar between conditions. Sustained exercise with fire protective equipment resulted in significant reductions in EDCA, ESCA, and SA from the start of exercise, which was associated with a 6.3 ± 0.8% reduction in plasma volume, an increase in core temperature (37.0 ± 0.4 to 38.8 ± 0.3°C), and a significant increase in heart rate (146.9 ± 2.1 to 181.7 ± 2.4 beats/min) throughout exercise. The results from this study support research by others showing that increased intrathoracic pressure reduces LV preload (EDCA); however, the novelty of the present study is that when venous return is compromised by sustained exercise and heat stress, SA cannot be maintained.

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16

Banchs, Albert, and Pablo Serrano. "Revisiting 802.11e EDCA performance analysis." Wireless Personal Communications 43, no. 4 (April 20, 2007): 1145–49. http://dx.doi.org/10.1007/s11277-007-9290-3.

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17

Tsai, Jeffrey Che-Hung, Jen-Wen Ma, Shih-Chia Liu, Tzu-Chieh Lin, and Sung-Yuan Hu. "Cardiac Arrest Survival Postresuscitation In-Hospital (CASPRI) Score Predicts Neurological Favorable Survival in Emergency Department Cardiac Arrest." Journal of Clinical Medicine 10, no. 21 (October 31, 2021): 5131. http://dx.doi.org/10.3390/jcm10215131.

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Background: This study was conducted to identify the predictive factors for survival and favorable neurological outcome in patients with emergency department cardiac arrest (EDCA). Methods: ED patients who suffered from in-hospital cardiac arrest (IHCA) from July 2014 to June 2019 were enrolled. The electronic medical records were retrieved and data were extracted according to the IHCA Utstein-style guidelines. Results: The cardiac arrest survival post-resuscitation in-hospital (CASPRI) score was associated with survival, and the CASPRI scores were lower in the survival group. Three components of the CASPRI score were associated with favorable neurological survival, and the CASPRI scores were lower in the favorable neurological survival group of patients who were successfully resuscitated. The independent predictors of survival were presence of hypotension/shock, metabolic illnesses, short resuscitation time, receiving coronary angiography, and TTM. Receiving coronary angiography and low CASPRI score independently predicted favorable neurological survival in resuscitated patients. The performance of a low CASPRI score for predicting favorable neurological survival was fair, with an AUROCC of 0.77. Conclusions: The CASPRI score can be used to predict survival and neurological status of patients with EDCA. Post-cardiac arrest care may be beneficial for IHCA, especially in patients with EDCA.

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18

Yan, Jun-rong, Shun-yi Zhang, Hua Long, and Yan-fei Sun. "An Analytical Model for EDCA Mechanism." Journal of Electronics & Information Technology 30, no. 4 (March 11, 2011): 979–83. http://dx.doi.org/10.3724/sp.j.1146.2006.01422.

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19

ZHANG, W., J. SUN, J. LIU, and H. ZHANG. "Performance Analysis of IEEE 802.11e EDCA." IEICE Transactions on Communications E90-B, no. 1 (January 1, 2007): 180–83. http://dx.doi.org/10.1093/ietcom/e90-b.1.180.

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20

Van Veenendaal, Stan, and Wiebe Witteveen. "Tender Environmental Impact Assessment Extra Discharge Capacity Afsluitdijk." Journal for the Advancement of Performance Information and Value 3, no. 1 (June 1, 2011): 102. http://dx.doi.org/10.37265/japiv.v3i1.109.

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The project Extra Discharge Capacity Afsluitdijk (EDCA) of Rijkswaterstaat aims to enlarge the capacity of the discharge sluices by building new sluices, necessary because of the climate change. Rijkswaterstaat has decided to outsource the responsibility to write the Environmental Impact Report to an engineering firm. Specific problems in the outsourcing of engineering jobs involve the limited liability of the engineering firms as well as how they receive little or no feedback from the design and build phase. This paper tests the hypothesis that BVP can also be successful in the area of engineering services. The result shows that BVP can be successful in the procurement of engineering services. The application of BVP at EDCA was very distinguishing in selecting the best value vendor. It identified a vendor at a lower cost, shorter time schedule, and with more innovative ideas than the Rijkswaterstaat project team.

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21

Шевелев, С. В., and А. Б. Семенов. "Software Applications as an Ensuring Means the Quality of Service the Wi-Fi networks." Informacionno-technologicheskij vestnik, no. 3(29) (September 17, 2021): 106–15. http://dx.doi.org/10.21499/2409-1650-29-3-106-115.

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Рассмотрены принципы обеспечения заданного уровня качества обслуживания QoS в беспроводных сетях, позволяющие достигнуть устойчивого функционирования программных приложений реального времени за счет тонкой настройки приоритезации генерируемого ими трафика. Основное внимание уделяется механизму управления доступом на основе конкуренции и контролируемого доступа, а также их расширениям. Затронуты вопросы инкапсуляции базовых механизмов управления в решения более высоких уровней EDCA и TXOP. Приведены расчетные значения соответствующих параметров. The principles of ensuring a given level of quality of QoS service in wireless networks are considered, which allow achieving the stable functioning of real-time software applications by fine-tuning the prioritization of the traffic generated by them. The main focus is on the competition-based access control mechanism and controlled access, as well as their extensions. The issues of encapsulation of basic control mechanisms in solutions of higher levels of EDCA and TXOP are touched upon. The calculated values of the corresponding parameters are given.

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22

Banchs, A., and L. Vollero. "A delay model for IEEE 802.11e EDCA." IEEE Communications Letters 9, no. 6 (June 2005): 508–10. http://dx.doi.org/10.1109/lcomm.2005.1437353.

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23

Jeong, Jiwoong, Jaehyuk Choi, Sunghyun Choi, and Chong-kwon Kim. "Resolving Intra-Class Unfairness in 802.11 EDCA." Wireless Personal Communications 63, no. 2 (September 5, 2010): 431–45. http://dx.doi.org/10.1007/s11277-010-0141-2.

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24

Cristobal Perez, Santiago, Higinio Alberto Facchini, Luis Alberto Bisaro, and Javier Campos. "Tuning Mechanism For IEEE 802.11e EDCA Optimization." IEEE Latin America Transactions 11, no. 4 (June 2013): 1134–42. http://dx.doi.org/10.1109/tla.2013.6601760.

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25

Szott, S., M. Natkaniec, and R. Canonico. "Detecting backoff misbehaviour in IEEE 802.11 EDCA." European Transactions on Telecommunications 22, no. 1 (November 30, 2010): 31–34. http://dx.doi.org/10.1002/ett.1459.

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26

Xiong, Lixiang, and Guoqiang Mao. "Saturated throughput analysis of IEEE 802.11e EDCA." Computer Networks 51, no. 11 (August 2007): 3047–68. http://dx.doi.org/10.1016/j.comnet.2007.01.002.

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27

Perbawa, Mulki Nurullah, Doan Perdana, and Yoseph Gustommy Bisono. "Performance Analysis of the Differences Restricted Access Window (RAW) on IEEE 802.11ah Standard with Enhanced Distributed Channel Access (EDCA)." JURNAL INFOTEL 10, no. 4 (November 30, 2018): 163. http://dx.doi.org/10.20895/infotel.v10i4.397.

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IEEE 802.11 standard is a WLAN (Wireless LAN) standard that has been used in all over the world. IEEE 802.11ah is the newer technology that designed to supports Internet of Things (IoT) and Machine-to-machine Communication (M2M). IEEE 802.11ah has a feature called Restricted Access Window (RAW) that capable to reduce power usage and have satisfying Quality of Service (QoS). In this research, Enhanced Distributed Channel Access (EDCA) is also applied. Same as RAW, EDCA also be able to affect QoS by modified the MAC Layer in 802.11 standard. This research used 3 different scenarios for RAW parameters: Modifying the number of RAW Group, Modifying the number of RAW Slot, and Comparing 2 Datamode. The EDCA Parameters that used in this research were: Contention Window and Arbitrary inter-frame Spacing Number. The values that expected to be the output in this research are: Delay, Throughput, Packet Delivery Ratio, Availability, and Reliability. After the research has been simulated, the results are: First, the lowest of average delay was Ngroup = 1, the highest of PDR was Ngroup = Nsta/2, and the highest of Throughput was Ngroup = Nsta/2. Second, the lowest of average delay was RAW Slot = 6, the highest of PDR were RAW Slot = 3 and 4, and the highest of Throughput was RAW Slot = 4. Third, the lowest of average delay was Datamode 3,9 Mbps BW 2 MHz, the highest of PDR was Dat mode 3,9 Mbps BW 2 MHz, and the highest of Throughput was Datamode 3,9 Mbps BW 2 MHz. Reliability, Availability, and Energy Consumption also can be affected by modifying RAW parameters, in 802.11ah Energy Consumption can be reduced by increasing the number of RAW Stations and RAW Groups.

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Liu, Wei, Xinxin He, Zhitong Huang, and Yuefeng Ji. "Transmission Capacity Characterization in VANETs with Enhanced Distributed Channel Access." Electronics 8, no. 3 (March 20, 2019): 340. http://dx.doi.org/10.3390/electronics8030340.

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The traditional research on the capacity of the Vehicular Ad Hoc Networks (VANETs) mainly lacks realistic models mimicking the behaviors of vehicles and the MAC protocol applied by IEEE 802.11p. To overcome these drawbacks, in this paper, the network transmission capacity analysis for VANETs is carried out from the perspective of the spatial geometric relationship among different vehicles. Specifically, the transmission scheme in this system is set to mimic enhanced distributed channel access (EDCA) protocol, in which the division of priorities is taken into account both the data type and the transmission distance requirement. Meanwhile, the moving pattern of vehicles is described as the classic car-following model according to realistic characteristics of VANET, and the propagation channel is modeled as a combination of large-scale path-loss and small-scale Rayleigh fading. Based on this model, the transmission opportunity under EDCA protocol is quantified and compared with that of CSMA/CA, and then the outage probability is calculated under the worst interfered scenario. Finally, the transmission capacity is thereby calculated and verified by the simulation results.

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Hu, Lin, Xingyue Liu, and Kun Zhou. "A Semi-Markov Process Model for Performance Evaluation of DSRC Vehicular Safety Communication." Mathematical Problems in Engineering 2022 (October 22, 2022): 1–11. http://dx.doi.org/10.1155/2022/7548608.

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In this study, a new semi-Markov process (SMP)-based model is devised to evaluate the IEEE 802.11p enhanced distributed channel access (EDCA) broadcast performance for vehicular safety communication. Differing from the existing SMP analytical models, the proposed model takes the virtual collision among various prioritized access categories (ACs) inside each vehicle into consideration. Moreover, in contrast to the Markov chain-based models, our model is simpler but with approximate accuracy. Concretely, we first capture the behavior of each AC’s backoff entity using SMP. Then, the parameters of interest in the vehicular ad hoc network (VANET) such as packet transmission probability, conditional collision probability, and saturation throughput are derived. Finally, via MATLAB simulations, we demonstrate that the newly developed model achieves comparable accuracy in calculating these output parameters while its complexity and computation time is around one-tenth of that of the Markov chain-based models. Therefore, the proposed model is more suitable for real-time performance analysis of IEEE 802.11p EDCA safety communication in a freeway scenario.

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Guan-Hsiung Liaw et al. "A Novel Packet Aggregation Mechanism for Enhancing VoIP Performance on IEEE 802.11 Wireless Mesh Networks." International Journal on Recent and Innovation Trends in Computing and Communication 8, no. 8 (August 31, 2020): 01–08. http://dx.doi.org/10.17762/ijritcc.v8i8.5428.

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In 802.11 Wireless Mesh Network (WMN), bandwidth will be wasted much for transferring VoIP flows since each voice frame must contain relatively large amount of protocol data. “Packet Aggregation” mechanism can be applied to merge the voice data of multiple VoIP flows into one frame for transmission. It reduces the waste on bandwidth and increases the maximum number of successful VoIP calls. In addition, the mechanism “MCF controlled channel access” (MCCA) defined in 802.11 standard can be used to obtain better QoS than adopting default EDCA mechanism. In MCCA, mesh stations which wants to transfer VoIP flows can reserve time intervals of the medium for transmission and this reservation will be advertised to their neighbors. It is why MCCA causes less medium contentions than EDCA. In this paper, a mechanism to transfer VoIP flows in IEEE 802.11 WMN by MCCA with packet aggregation scheme is proposed. The effectiveness of the proposed mechanism is shown by simulation results. In addition, the problem named as Routing-Packet Aggregation / De-aggregation-Scheduling optimization problem (abbr. RPADS problem) derived from the proposed mechanism is also studied. A heuristic algorithm for RPADS problem to maximize the total number of supported calls is also proposed.

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Oktaviana, Ana, Doan Perdana, and Ridha Muldina Negara. "Performance Analysis on IEEE 802.11ah Standard with Enhanced Distributed Channel Access Mechanism." CommIT (Communication and Information Technology) Journal 12, no. 1 (May 31, 2018): 35. http://dx.doi.org/10.21512/commit.v12i1.3908.

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IEEE 802.11ah is a new task group on the IEEE 802.11 standard designed to work on the 900 MHz. It is with a range of communication coverage up to 1kilometer, lower energy consumption, and up to 8191 stations. There are two types of STAs in 802.11ah: sensor type to support sensor service and non-sensor type for offload service. In this research, it only focuses on non-sensor STA. For non-sensor STA, maximizing throughput is more important than power consumption. This research aims to see the performance of IEEE 802.1 1ah with Enhanced Distributed Channel Access (EDCA). To achieve that purpose, a mechanism is needed to provide guarantees various services required by theSTA. EDCA is an access mechanism used to set the Quality of Service (QoS) for the IEEE 802.11 standard through modifications in MAC layer. In this research,it focuses on one of the EDCA parameters, Arbitration Inter-Frame Space (AIFS). In addition, this research also focuses on the 802.11ah feature is Restricted Access Window (RAW) by changing the number of the RAW groups. From the results of the research, it is found that the improvement scheme with Arbitration Inter-Frame Space Number (AIFSN) value AC BK = 2, AC BE = 1, AC VI = 1, AC VO = 1 has better performance compared to the default scheme with AIFSN value AC BK = 7, AC BE = 3, AC VI = 2, AC VO = 2) with an average throughput of 1.504598 Mbps, average overall delay of 0.066242 second and average PDR of 62%. In addition, changes in the number of RAW groups and RAW slots affect network performance. This feature can improve the value of throughput, average delay, and Packet Delivery Ratio. The goals of this research is to know the effect of AIFSN value changes on AIFSN parameters, variation of RAW group and RAW slot number to throughput,average delay and packet delivery ratio.

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Vijaya, P., and P. Chenna. "Performance Evaluation of IEEE 802.11e EDCA using QUALNET." International Journal of Computer Applications 155, no. 1 (December 15, 2016): 11–15. http://dx.doi.org/10.5120/ijca2016911883.

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El Masri, Mohamad, and Slim Abdellatif. "Managing the virtual collision in IEEE 802.11e EDCA." IFAC Proceedings Volumes 42, no. 3 (2009): 104–9. http://dx.doi.org/10.3182/20090520-3-kr-3006.00016.

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Tinnirello, Ilenia, and Giuseppe Bianchi. "Rethinking the IEEE 802.11e EDCA Performance Modeling Methodology." IEEE/ACM Transactions on Networking 18, no. 2 (April 2010): 540–53. http://dx.doi.org/10.1109/tnet.2009.2029101.

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Gao, Yayu, Xinghua Sun, and Lin Dai. "IEEE 802.11e EDCA Networks: Modeling, Differentiation and Optimization." IEEE Transactions on Wireless Communications 13, no. 7 (July 2014): 3863–79. http://dx.doi.org/10.1109/twc.2014.2327215.

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Dongxia Xu, T. Sakurai, and H. L. Vu. "An Access Delay Model for IEEE 802.11e EDCA." IEEE Transactions on Mobile Computing 8, no. 2 (February 2009): 261–75. http://dx.doi.org/10.1109/tmc.2008.108.

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Wang, Zhen, and Xiao Guo. "Priority Parameter-based Analysis and Optimization for EDCA." International Journal of Control and Automation 7, no. 5 (May 31, 2014): 181–90. http://dx.doi.org/10.14257/ijca.2014.7.5.20.

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Banchs, Albert, and Luca Vollero. "Throughput analysis and optimal configuration of 802.11e EDCA." Computer Networks 50, no. 11 (August 2006): 1749–68. http://dx.doi.org/10.1016/j.comnet.2005.07.008.

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Lin, Cheng-Han, Ce-Kuen Shieh, Wen-Shyang Hwang, and Dai-Ying Liu. "Throughput-Based Mapping Algorithm for Video Streaming over IEEE 802.11e WLAN." Wireless Communications and Mobile Computing 2021 (October 22, 2021): 1–14. http://dx.doi.org/10.1155/2021/8852095.

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IEEE 802.11e utilizes the Enhanced Distributed Channel Access (EDCA) protocol to provide quality of service (QoS) support over WLANs. However, under EDCA, all video data are allocated to the same access category (AC) queue, irrespective of their coding importance. Consequently, the quality of the transmitted video may be severely degraded under heavy traffic load conditions. The literature contains several queue mapping mechanisms based on the settings of the AC queues, such as contention window size, for improving the video transmission quality over IEEE 802.11e WLANs. However, these mechanisms fail to consider the effect of the dequeuing time on the video delivery performance. Accordingly, the present study proposes a new queue mapping algorithm, designated as the throughput-based mapping algorithm (TMA), for improving the video transmission quality and reducing the video delay by dynamically allocating the video data packets to different AC queues based on their length and throughput such that the probability of the dequeuing time being reduced is increased. In implementing the proposed approach, the throughputs of the AC queues are analyzed using two Markov chain models. The simulation results show that TMA outperforms previously proposed static and dynamic queue mapping schemes in terms of a reduced AC queue length, an improved PSNR (peak signal-to-noise ratio), and a shorter transmission delay.

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MAO, Jian-Bing, Yu-Ming MAO, Su-Peng LENG, and Xiang BAI. "Research of the QoS-Supporting IEEE 802.11 EDCA Performance." Journal of Software 21, no. 4 (March 11, 2010): 750–70. http://dx.doi.org/10.3724/sp.j.1001.2010.03490.

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Zhang, Wei, Jun Sun, Jing Liu, and Hai-bin Zhang. "Performance analysis of IEEE 802.11e EDCA in wireless LANs." Journal of Zhejiang University-SCIENCE A 8, no. 1 (January 2007): 18–23. http://dx.doi.org/10.1631/jzus.2007.a0018.

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Zhang, Haibin, Wanqing Tian, and Jiajia Liu. "Improving EDCA for Efficient Channel Access in Vehicular Communications." IEEE Communications Magazine 56, no. 10 (October 2018): 72–77. http://dx.doi.org/10.1109/mcom.2018.1800121.

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Jae Young Lee, Hwang Soo Lee, and Joong Soo Ma. "Model-based QoS parameter control for IEEE 802.11e EDCA." IEEE Transactions on Communications 57, no. 7 (July 2009): 1914–18. http://dx.doi.org/10.1109/tcomm.2009.07.070147.

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Pan, Shih-Wei, and Jung-Shyr Wu. "Throughput analysis of IEEE 802.11e EDCA under heterogeneous traffic." Computer Communications 32, no. 5 (March 2009): 935–42. http://dx.doi.org/10.1016/j.comcom.2008.12.021.

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Hamidian, Ali, and Ulf Körner. "Extending EDCA with distributed resource reservation for QoS guarantees." Telecommunication Systems 39, no. 3-4 (September 20, 2008): 187–94. http://dx.doi.org/10.1007/s11235-008-9124-y.

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Kristian Montolalu, Reynaldo Rudy, and Banyu Perwita. "PHILIPPINE â€“ US DEFENSE COOPERATION: THE IMPLEMENTATION OF â€œTHE ENHANCED DEFENSE COOPERATION AGREEMENTâ€ TO RESPOND CHINAâ€™S ASSERTIVENESS IN THE SOUTH CHINA SEA (2010 â€“ 2016)." Jurnal Asia Pacific Studies 3, no. 1 (July 5, 2019): 52. http://dx.doi.org/10.33541/japs.v3i1.1032.

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China assertiveness in the South China Sea has considered as part of its national ambition to dominate most of the sea area as stated in its claim on the â€œnine-dashed lineâ€. This China assertiveness could be seen in its more active policy by projected military power in area disputing. As one of the claimant states, the Philippine felt that Chinaâ€™s actions toward the region have harmed their territorial sovereignty over the West Philippine Sea. The disputed matter between the Philippine and China count active to flare up from 2010 to 2016 which marked with several incidents between both of the countries navies in Scarborough Shoal and Second Thomas Shoal. In response to the condition in the South China Sea, the Philippine was trying to enhance their defense posture which considered weak through AFP Modernization Pact initiated by President Benigno Aquino III at the beginning of his administration. Constrained by military budget allowance and limited defense equipment, the Philippine is relying on its military alliance which is the United States that has been created since a long period of time, especially in order to enhance the Philippine external defense. In 2014, both of the countries signed the Enhanced Defense Cooperation Agreement (EDCA) which is the enhancement of the previous defense cooperation agreements: the Mutual Defense Treaty 1951 and the Visiting Forces Agreement 1998. This new defense cooperation agreement considered to play a significant role in supporting Philippineâ€™ effort on responding the internal and external threats, including the unpredictable China militarization in the South China Sea. Keywords: South China Sea, China Assertiveness, Defense Cooperation, The Philippine â€“ US bilateral relations, Enhanced Defense Cooperation Agreement (EDCA) Abstrak Keagresifan Cina di Laut Cina Selatan merupakan suatu ambisi nasionalnya untuk menguasai sebagian besar wilayah laut sebagaimana tertuang dalam â€œSembilan Garis Putus-Putusâ€. Bentuk keagresifan Cina ini terlihat dalam kebijakannya yang lebih aktif dengan cara memproyeksikan kekuatan militer di daerah yang masih disengketakan. Sebagai salah satu negara yang bersengketa, Filipina merasa tindakkan yang dilakukan Cina dikawasan telah merugikan kedaulatan teritorinya yaitu Laut Filipina Barat. Masalah sengketa Filipina dan Cina terhitung aktif bergejolak sejak 2010 hingga 2016 yang ditandai dengan beberapa insiden antara kapal angkatan laut kedua negara di Scarborough Shoal dan Second Thomas Shoal. Menanggapi kondisi di Laut Cina Selatan, Filipina mencoba memperkuat postur pertahanannya yang masih lemah melalui Pakta Modernisasi Angkatan Bersenjata Filipina yang diinisiasi oleh Presiden Benigno Aquino III pada awal masa pemerintahannya. Terkendala masalah anggaran belanja dan keterbatasan alutsista, Filipina mengandalkan aliansi militernya dengan Amerika Serikat yang sudah terbentuk sejak lama, terlebih khusus dalam upaya memperkuat pertahanan eksternal Filipina. Pada tahun 2014, kedua negara menandatangani Perjanjian Peningkatan Kerjasama Pertahanan (EDCA) yang merupakan peningkatan dari perjanjian kerjasama pertahanan yang telah terbentuk, yaitu Perjanjian Pertahanan Bersama 1951 dan Perjanjian Kunjungan Pasukan 1998. Perjanjian kerjasama pertahanan yang baru ini dianggap dapat membantu Filipina dalam upaya melawan ancaman internal dan eksternal termasuk militerisasi Cina di Laut Cina Selatan yang sulit untuk diprediksi. Kata Kunci: Laut Cina Selatan, keagresifan Cina, kerjasama pertahanan, hubungan bilateral Filipina dan Amerika Serikat, Enhanced Defense Cooperation Agreement (EDCA)

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Kuan, Cheng, and Kaharudin Dimyati. "Utilization Model for HCCA EDCA Mixed Mode in IEEE 802.11e." ETRI Journal 29, no. 6 (December 2007): 829–31. http://dx.doi.org/10.4218/etrij.07.0207.0145.

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Wang, Huibin, Yang Hu, Lili Zhang, and Wei Xia. "A New Adaptive EDCA Approach to QoS of Wireless Communications." Wireless Engineering and Technology 01, no. 01 (2010): 1–9. http://dx.doi.org/10.4236/wet.2010.11001.

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Du, Jian-chao, Song Xiao, and Cheng-ke Wu. "An EDCA-based Dynamic Mapping Scheme for Video Streaming Packets." Journal of Electronics & Information Technology 34, no. 1 (February 2, 2012): 45–50. http://dx.doi.org/10.3724/sp.j.1146.2011.00471.

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ZHOU, Xin-Yun. "MAC Access Delay Analysis of EDCA Mechanism of Wireless LANs." Journal of Software 19, no. 8 (October 21, 2008): 2127–39. http://dx.doi.org/10.3724/sp.j.1001.2008.02127.

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