• Title/Summary/Keyword: Contention Window

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New Contention Window Control Algorithm for TCP Performance Enhancement in IEEE 802.11 based Wireless Multi-hop Networks (IEEE 802.11 기반 무선 멀티홉 망에서 TCP의 성능향상을 위한 새로운 경쟁 윈도우 제어 알고리즘)

  • Gi In-Huh;Lee Gi-Ra;Lee Jae-Yong;Kim Byung-Chul
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.43 no.9 s.351
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    • pp.165-174
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    • 2006
  • In this paper, we propose a new contention window control algorithm to increase TCP performance in wireless multi-hop networks. The new contention window control algorithm is suggested to reduce the hidden and exposed terminal problems of wireless multi-hop networks. Most of packet drops in wireless multi-hop networks results from hidden and exposed terminal problems, not from collisions. However, in normal DCF algorithm a failed user increases its contention window exponentially, thus it reduces the success probability of fined nodes. This phenomenon causes burst data transmissions in a particular node that already was successful in packet transmission, because the success probability increases due to short contention window. However, other nodes that fail to transmit packet data until maximum retransmission attempts try to set up new routing path configuration in network layer, which cause TCP performance degradation and restrain seamless data transmission. To solve these problems, the proposed algorithm increases the number of back-of retransmissions to increase the success probability of MAC transmission, and fixes the contention window at a predetermined value. By using ns-2 simulation for the chain and grid topology, we show that the proposed algorithm enhances the TCP performance.

Dynamic Contention Window Control Algorithm Using Genetic Algorithm for IEEE 802.11 Wireless LAN Systems for Logistics Information Systems (물류 정보시스템을 위한 IEEE 802.11 무선랜 시스템에서 유전자 알고리듬을 이용한 Dynamic Contention Window 제어 알고리듬)

  • Lee, Sang-Heon;Choi, Woo-Yong;Lee, Sang-Wan
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2007.11a
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    • pp.330-340
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    • 2007
  • IEEE 802.11 wireless LANs employ the backoff algorithm to avoid contentions among STAs when two or more STAs attempt to transmit their data frames simultaneously. The MAC efficiency can be improved if the CW values are adaptively changed according to the channel state of IEEE 802.11 wireless LANs. In this paper, we propose a dynamic contention window control algorithm using the genetic algorithm to improve the MAC throughput of IEEE 802.11 wireless LANs.

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Decision of Maximum Congestion Window Size for TCP Performance Improvement by Bandwidth and RTT Measurement in Wireless Multi-Hop Networks

  • Huh, In;Lee, Jae-Yong;Kim, Byung-Chul
    • Journal of Information Processing Systems
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    • v.2 no.1
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    • pp.34-38
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    • 2006
  • In the wireless network, TCP performs poorly because it was originally designed for wired networks and does not take into consideration wireless characteristics such as mobility, high-loss probability, and hidden-terminal problems. In particular, in the wireless multi-hop networks, a large congestion window increases the probability of contention and packet losses, and TCP performance is degraded severely as a result. So, it is necessary to limit the TCP congestion window size in order keep the probability of contention loss in the system to a minimum. In this paper, we propose a new scheme for determining the maximum congestion window size based on the measured bandwidth and Round-Trip-Time (RTT). Using ns-2 simulation, we show that the proposed scheme reduces the probability of packet contention and improves TCP performance.

An Adaptive Contention Windows Adjustment Scheme Based on the Access Category for OnBord-Unit in IEEE 802.11p (IEEE 802.11p에서 차량단말기간에 혼잡상황 해결을 위한 동적 충돌 윈도우 향상 기법)

  • Park, Hyun-Moon;Park, Soo-Hyun;Lee, Seung-Joo
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.47 no.6
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    • pp.28-39
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    • 2010
  • The study aims at offering a solution to the problems of transmission delay and data throughput decrease as the number of contending On-Board Units (OBU) increases by applying CSMA medium access control protocol based upon IEEE 802.11p. In a competition-based medium, contention probability becomes high as OBU increases. In order to improve the performance of this medium access layer, the author proposes EDCA which a adaptive adjustment of the Contention Windows (CW) considering traffic density and data type. EDCA applies fixed values of Minimum Contention Window (CWmin) and Maximum Contention Window (CWmax) for each of four kinds of Access Categories (AC) for channel-specific service differentiation. EDCA does not guarantee the channel-specific features and network state whereas it guarantees inter-AC differentiation by classifying into traffic features. Thus it is not possible to actively respond to a contention caused by network congestion occurring in a short moment in channel. As a solution, CWminAS(CWmin Adaptation Scheme) and ACATICT(Adaptive Contention window Adjustment Technique based on Individual Class Traffic) are proposed as active CW control techniques. In previous researches, the contention probabilities for each value of AC were not examined or a single channel based AC value was considered. And the channel-specific demands of IEEE 802.11p and the corresponding contention probabilities were not reflected in the studies. The study considers the collision number of a previous service section and the current network congestion proposes a dynamic control technique ACCW(Adaptive Control of Contention windows in considering the WAVE situation) for CW of the next channel.

An Adaptive Contention-window Adjustment Technique Based on Individual Class Traffic for IEEE 802.11e Performance (802.11e의 성능 향상을 위한 개별적 클래스 트래픽에 기반한 동적 충돌 윈도우 크기 조절 기법)

  • Um, Jin-Yeong;Oh, Kyung-Sik;Ahn, Jong-Suk
    • Journal of KIISE:Computing Practices and Letters
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    • v.14 no.2
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    • pp.191-195
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    • 2008
  • This paper proposes a technique for improving IEEE 802.11e EDCA's performance by dynamically adjusting each class's contention window size based on each class's traffic amount. For providing differentiated service differently from 802.11, 802.11e EDCA maintains four classes each of which specifies different static minimum and maximum contention window sizes. Since the initial window sites significantly affect the 802.11e performance, several window adjustment schemes have been proposed. One of the schemes known as CWminAS (CWmin Adaptation Scheme) dynamically and synchronously determines the four windows' site based on the periodically measured collision rate. This method, however, can lower the send probability of high priority classes since it can't differentiate their collisions from those of low priority classes, leading to the channel underutilization. For solving this problem, we propose ACATICT(Adaptive Contention-window Adjustment Technique based on Individual Class Traffic) algorithm which adapts each class window size based on each individual collision rate rather than one average collision rate. Our simulation experiments show that ACATICT achieves better utilization by around 10% at maximum.

Dynamic Contention Window Control Algorithm Using Genetic Algorithm in IEEE 802.11 Wireless LAN Systems for Logistics Information Systems (물류 정보시스템을 위한 IEEE 802.11 무선랜 시스템에서 유전자 알고리듬을 이용한 Dynamic Contention Window 제어 알고리듬)

  • Lee, Sang-Heon;Choi, Woo-Yong;Lee, Sang-Wan
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.32 no.3
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    • pp.10-19
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    • 2009
  • Wireless LAN systems have been widely implemented for supporting the wireless internet services especially in the hotspot areas such as hospitals, homes, conference rooms, and so on. Compared with wired LAN systems, wireless LAN systems have the advantages of the users' mobility support and low implementation and maintenance costs. IEEE 802.11 wireless LAN systems employ the backoff algorithm to avoid contentions among STAs when two or more STAs attempt to transmit their data frames simultaneously. The MAC efficiency can be improved if the CW values are adaptively changed according to the channel state of IEEE 802.11 wireless LANs. In this paper, a dynamic contention window control algorithm is proposed using the genetic algorithm to improve the MAC throughput of IEEE 802.11 wireless LANs.

Adaptive Binary Negative-Exponential Backoff Algorithm Based on Contention Window Optimization in IEEE 802.11 WLAN

  • Choi, Bum-Gon;Lee, Ju-Yong;Chung, Min-Young
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.4 no.5
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    • pp.896-909
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    • 2010
  • IEEE 802.11 medium access control (MAC) employs the distributed coordination function (DCF) as the fundamental medium access function. DCF operates with binary exponential backoff (BEB) in order to avoid frame collisions. However it may waste wireless resources because collisions occur when multiple stations are contending for frame transmissions. In order to solve this problem, a binary negative-exponential backoff (BNEB) algorithm has been proposed that uses the maximum contention window size whenever a collision occurs. However, when the number of contending stations is small, the performance of BNEB is degraded due to the unnecessarily long backoff time. In this paper, we propose the adaptive BNEB (A-BNEB) algorithm to maximize the throughput regardless of the number of contending stations. A-BNEB estimates the number of contending stations and uses this value to adjust the maximum contention window size. Simulation results show that A-BNEB significantly improves the performance of IEEE 802.11 DCF and can maintain a high throughput irrespective of the number of contending stations.

Binary Negative-Exponential Backoff Algorithm to Enhance The Performance of IEEE 802.11 WLAN (IEEE 802.11 무선랜의 성능 향상을 위한 Binary Negative-Exponential Backoff 알고리즘)

  • Ki, Hyung-Joo;Choi, Seung-Hyuk;Chung, Min-Young;Lee, Tae-Jin
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.31 no.12A
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    • pp.1229-1237
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    • 2006
  • IEEE 802.11 has employed distributed coordination function (DCF) adopting carrier sense multiple access with collision avoidance (CSMA/CA). To effectively resolve collisions, DCF uses binary exponential backoff (BEB) algorithm with three parameters, i.e., backoff stage, backoff counter and contention window. If a collision occurs, stations involving in the collision increase their backoff stages by one and double their contention window sizes. However, DCF with BEB wastes wireless resource when there are many contending stations. Therefore, in this paper, to enhance the performance of wireless LAN, we propose binary negative-exponential backoff (BNEB) algorithm which maintains a maximum contention window size during collisions and reduces a contention window size to half after successful transmission of a frame without retransmissions. For IEEE 802.11, 802.11a and 802.11b standards, we also compare the performance of DCF with BEB to that with BNEB.

Analysis of Throughput and Delay for variation of Minimum Contention Window in IEEE 802.11 (변화에 따른 수율 및 지연시간 분석)

  • Lim, Seog-Ku
    • Proceedings of the KAIS Fall Conference
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    • 2008.11a
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    • pp.304-306
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    • 2008
  • CSMA/CA를 기반으로 하는 IEEE 802.11 무선랜의 MAC에서는 데이터 전송을 제어하기 위한 방법으로 DCF와 PCF를 사용한다. CSMA/CA는 스테이션간의 충돌을 줄이기 위해서 임의의 백오프 시간을 각 스테이션의 경쟁윈도우(Contention Window) 범위에서 결정한다. 스테이션은 패킷 전송 후 충돌이 발생하면, 윈도우 크기를 두 배로 증가시키며, 패킷을 성공적으로 전송하면 윈도우 크기를 최소 경쟁 윈도우(Minimum Contention Window)로 감소한다. DCF는 경쟁 스테이션이 적은 상황에서는 비교적 우수한 성능을 보이나 경쟁 스테이션의 수가 많은 경우 처리율, 패킷지연 관점에서 성능이 저하되는 문제점이 있다. 본 논문에서는 IEEE 802.11 MAC 계층 DCF 방식에서 최소 경쟁 윈도우의 값이 포화수율 및 패킷지연에 미치는 영향을 시뮬레이션에 의해 분석한다.

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Contention Window Sizes of CSMA/CA Wireless Networks in Different PPP Setups (다양한 PPP 밀도에서의 CSMA/CA Contention Window 사이즈의 변화)

  • Cho, Soohyun
    • Proceedings of the Korea Information Processing Society Conference
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    • 2017.11a
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    • pp.131-132
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    • 2017
  • CSMA/CA 기반 무선 네트워크에서 장치들은 패킷 충돌을 회피하기 위해 무선 채널을 타 장치가 사용 중인 것을 감지하면 데이터를 전송하지 않고 대기 (Backoff) 한다. 이 Backoff는 Contention Window (CW) 의 크기를 변경하고 Backoff 시간은 이 CW의 크기에 따라 확률적으로 결정된다. 따라서 CW의 크기는 무선 네트워크의 상태를 나타내는 중요한 지표가 될 수 있다. 본 논문에서는 상대적으로 넓은 공간에서 IEEE 802.11a 무선네트워크의 Access Point와 사용자들이 Poisson point process (PPP)를 기반으로 분포되어 Hidden Terminal이 존재할 수 있는 상황에서 CW의 크기 변화를 시뮬레이션을 통해 분석한다.