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Littérature scientifique sur le sujet « Adaptive backoff algorithm »

Auteur : Grafiati

Publié le 7 juin 2025

Mis à jour le 2 août 2025

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Articles de revues sur le sujet "Adaptive backoff algorithm"

Khamayseh, Yaser, Muneer Bani Yassein, Iman I. Badran, and Wail Mardini. "An Adaptive Backoff Algorithm for Mobile Ad-Hoc Networks." International Journal of Mobile Computing and Multimedia Communications 3, no. 3 (2011): 1–19. http://dx.doi.org/10.4018/jmcmc.2011070101.

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Collision is a common problem in Mobile Ad Hoc Networks (MANETs). There are several backoff algorithms that have been proposed to avoid this problem. This paper proposes a new backoff algorithm called the Square Root Backoff (SRB). Moreover, it identifies that no algorithm can perform the best in all cases. Therefore, an adaptive strategy is proposed to choose the best backoff mechanism from a set of mechanisms based on network density and mobility parameters. The proposed adaptive algorithm is implemented in two phases, the offline phase and the online phase. Such design aims at reducing the

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Chen, Xiao Yun, Sha Liu, and Long Jie Li. "ABCR-STC: An Improved Adaptive Backoff Algorithm for MAC Protocol in Ad Hoc Networks." Applied Mechanics and Materials 40-41 (November 2010): 462–68. http://dx.doi.org/10.4028/www.scientific.net/amm.40-41.462.

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The performance of backoff algorithm plays an important role in designing efficient Medium Access Protocols for Ad hoc networks. In this paper, we propose three backoff algorithms for Ad hoc networks. The first algorithm aims at higher fairness, and the second aims at stronger adaptivity. Then, we combine the first two algorithms to propose an optimized backoff algorithm. We use NS2 to simulate Ad hoc network environment to evaluate the performance of our improved backoff algorithms. The results show that our algorithms exhibit a signiﬁcant improvement in throughput and fairness with the exist

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Zhang, Tianjiao, and Qi Zhu. "A QoS Based Adaptive Backoff Scheme for Vehicular Ad Hoc Networks." Sensors 18, no. 12 (2018): 4421. http://dx.doi.org/10.3390/s18124421.

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The media access control (MAC) protocol is a key element in the design of vehicular ad hoc networks (VANETs) that directly affects the network performance. The backoff schemes of existing MAC protocols apply the single backoff process and therefore are not suitable for multi-class data transmission. Additionally, they cannot satisfy the delay requirements of emergency data in the case of varying number of vehicles, causing an adverse effect to the intelligent transportation system (ITS). This paper presents a priority-based adaptive backoff scheme that can enhance the binary exponential backof

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Wang, Jun She, Rui Juan Qiao, and Ya Nan Zhang. "Cognitive Backoff Algorithm Research." Applied Mechanics and Materials 610 (August 2014): 627–32. http://dx.doi.org/10.4028/www.scientific.net/amm.610.627.

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Wireless communication technology has been widely applied in People's Daily life. However, limited spectrum resources and low spectrum utilization of spectrum resources shortage is proposed. In this paper, a cognitive function of backoff algorithm (CR-BOA) is raised. This algorithm depending on the degree of congestion channel adaptive adjustment the size of the backoff value .This algorithm greatly improves the performance of the network, and reduces the problems of delay caused by the spectrum resource scarcity. Finally, use the OPNET simulation software, the results show that the end-to-end

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Lekcharoen, Somchai. "An Adaptive Fuzzy Control Double Leaky Bucket Using Backoff Time and Backpressure in Policing Mechanism Schemes over VDSL Network." ECTI Transactions on Electrical Engineering, Electronics, and Communications 6, no. 2 (2007): 107–16. http://dx.doi.org/10.37936/ecti-eec.200862.171771.

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When congestion occurs in VDSL networks, it will drop incoming frames because the buffer fills up frames until it over°ows. In backpressure algorithm suitable for low traffic [1], it prevents buffer overflows. In backo® time in leaky bucket over traffic policing mechanism suitable for high traffic [2], Backoff time computations are wildly used in order to avoid the impact on the network performance. In this paper, we propose a fuzzy control double leaky bucket using backpressure and backoff time detects violations in parameter negotiation. We evaluate and compare the performance of a fuzzy con

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ALBALT, Maali, and Qassim NASIR. "Adaptive Backoff Algorithm for IEEE 802.11 MAC Protocol." International Journal of Communications, Network and System Sciences 02, no. 04 (2009): 300–317. http://dx.doi.org/10.4236/ijcns.2009.24033.

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Bedi, Harpreet Singh. "Utilization of a Wireless Network Performing CSMA/CA with Random Backoff Algorithm." Journal of Physics: Conference Series 2327, no. 1 (2022): 012060. http://dx.doi.org/10.1088/1742-6596/2327/1/012060.

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Abstract Optimizing WLAN performance in IEEE 802.11 network with extremely different working environments is a difficult task. We must use a network that can provide the most benefits to its end-users to improve network strength and data transmission. To increase performance in this congested situation, we construct an adaptive backoff algorithm for the IEEE 802.11 DCF that enhances in congested network conditions, system throughput is improved, the collision probability is reduced, and good fairness is maintained. This paper deals with the utilization of networks for different backoff strateg

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Syed, Ikram, and Byeong-hee Roh. "Adaptive Backoff Algorithm for Contention Window for Dense IEEE 802.11 WLANs." Mobile Information Systems 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/8967281.

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The performance improvement in IEEE 802.11 WLANs in widely fluctuating network loads is a challenging task. To improve the performance in this saturated state, we develop an adaptive backoff algorithm that maximizes the system throughput, reduces the collision probability, and maintains a high fairness for the IEEE 802.11 DCF under dense network conditions. In this paper, we present two main advantages of the proposed ABA-CW algorithm. First, it estimates the number of active stations and then calculates an optimal contention window based on the active station number. Each station calculates t

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Lin, Cheng-Han, Ming-Hua Cheng, Wen-Shyang Hwang, Ce-Kuen Shieh, and Yu-Hang Wei. "A Rapidly Adaptive Collision Backoff Algorithm for Improving the Throughput in WLANs." Electronics 12, no. 15 (2023): 3324. http://dx.doi.org/10.3390/electronics12153324.

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In the 802.11 protocol, the fundamental medium access mechanism is called Distributed Coordination Function (DCF). In DCF, before making any transmission attempt, the nodes count down a timer with a value randomly selected from the Contention Window (CW) size. If the transmitted packet is involved in a collision, the node increases the CW size in an attempt to reduce the collision rate. Conversely, if the packet is transmitted successfully, the node reduces the CW size in order to increase the frequency of the transmission attempts. The growth or reduction in the CW size has a critical effect

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Xiaohang, Qi, Zhang Qi, Tian Qinghua, Tao Ying, Xin Xiangjun, and Liu Naijin. "Design of adaptive backoff algorithm for satellite network using grey system." Journal of China Universities of Posts and Telecommunications 22, no. 1 (2015): 24–56. http://dx.doi.org/10.1016/s1005-8885(15)60621-5.

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Thèses sur le sujet "Adaptive backoff algorithm"

CHIANG, CHUN-I., and 江俊毅. "An Adaptive State Backoff Algorithm forWireless Networks." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/79090161045397255752.

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碩士 國立高雄應用科技大學 電機工程系博碩士班 105 With the rapid growth of technology and wireless networks, technologies need to provide efficiency information delivery in the case of limited bandwidth and huge wireless devices, no matter 5th Generation Mobile Networks, Internet of Things (IOT), Long Term Evolution (LTE) or Wi-Fi, etc. In the wireless networks, there are numerous requests form different devices at the same time, the network congestion will happen. In this paper, we propose the Adaptive State Backoff Algorithm (ASBA) to solve network congestion. To improve wireless networks performance

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Lin, Yaju, and 林雅茹. "The study on the load-adaptive backoff algorithm for wireless networks." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/38277510360293077989.

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碩士 國防大學理工學院 資訊工程碩士班 100 With the development of wireless technology and the rapid growth of portable mobile devices, a wireless LAN environment is built widely. In the traditional wired network environment, a computer must fix at a specific network node, but it can retrieve information on the network at anytime for any movement in the wireless LAN architecture. In the IEEE 802.11, the binary exponential backoff algorithm (BEB) is used to control the contention window (CW); however, using the same CW value for the network environment with different traffic loads will lead to wait fo

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Yu-HangWei and 韋宇航. "A Rapidly Adaptive Collision Backoff Algorithm to Improve Throughput for WLAN." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/11650295378612988816.

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Lin, Yu-Hsu, and 林育煦. "Dynamic Adaptive Backoff Algorithm Based on Channel State in Wireless Ad Hoc Networks." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/31286647059558790952.

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碩士 元智大學 資訊工程學系 98 The traditional IEEE 802.11 DCF incorporates a random backoff scheme to provide a contention-based channel access mechanism in wireless networks. However, according to recent research, legacy schemes are only appropriate in a network environment of low or high active nodes density. In mobile ad hoc networks (MANETs), the number of active nodes changes dynamically. Thus, slow convergence of contention window (CW) could cause high collision and large delay. This makes the legacy backoff scheme not suitable for MANETs. Therefore, this thesis presents a novel backoff

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Bae, Ki-taek. "New signal processing approaches to peak-to-average power ratio reduction in multicarrier systems." Thesis, 2010. http://hdl.handle.net/2152/ETD-UT-2010-08-1649.

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Multi-carrier systems based on orthogonal frequency division multiplexing (OFDM) are efficient technologies for the implementation of broadband wireless communication systems. OFDM is widely used and has been adopted for current mobile broadband wireless communication systems such as IEEE 802.a/g wireless LANs, WiMAX, 3GPP LTE, and DVB-T/H digital video broadcasting systems. Despite their many advantages, however, OFDM-based systems suffer from potentially high peak-to-average power ratio (PAR). Since communication systems typically include nonlinear devices such as RF power amplifiers (PA) an

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Chapitres de livres sur le sujet "Adaptive backoff algorithm"

Rao, Vaddina Prakash, and Dimitri Marandin. "Adaptive Backoff Exponent Algorithm for Zigbee (IEEE 802.15.4)." In Next Generation Teletraffic and Wired/Wireless Advanced Networking. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11759355_46.

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Ibrahim, Mouhamad, and Sara Alouf. "Design and Analysis of an Adaptive Backoff Algorithm for IEEE 802.11 DCF Mechanism." In NETWORKING 2006. Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile and Wireless Communications Systems. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11753810_16.

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Actes de conférences sur le sujet "Adaptive backoff algorithm"

Li, Zhenghan, Yu Zhang, Zhoujie Liu, and Yiming Wang. "An Adaptive Backoff Algorithm Based on Topology Status for Flying Ad hoc Networks." In 2024 6th International Conference on Communications, Information System and Computer Engineering (CISCE). IEEE, 2024. http://dx.doi.org/10.1109/cisce62493.2024.10653041.

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Xiaohong, He, He Qian, and Hu Xiaojun. "A novel adaptive backoff algorithm." In 5th International Conference on Advanced Computer Control. WIT Press, 2014. http://dx.doi.org/10.2495/icacc130941.

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Huang, Yao, Hui Tian, Cheng Qin, Jinghong Li, and Jun Zhang. "An Adaptive Backoff Algorithm for OFDMA Systems." In 2012 IEEE Vehicular Technology Conference (VTC Fall). IEEE, 2012. http://dx.doi.org/10.1109/vtcfall.2012.6398935.

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Khanafer, M., M. Guennoun, and H. T. Mouftah. "An Efficient Adaptive Backoff Algorithm for Wireless Sensor Networks." In 2011 IEEE Global Communications Conference (GLOBECOM 2011). IEEE, 2011. http://dx.doi.org/10.1109/glocom.2011.6134430.

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Cheng, Ming-Hua, Chun-I. Chiang, Wen-Shyang Hwang, Yan-Jing Wu, and Cheng-Han Lin. "An adaptive state backoff algorithm for wireless mesh networks." In 2018 IEEE International Conference on Applied System Innovation (ICASI). IEEE, 2018. http://dx.doi.org/10.1109/icasi.2018.8394428.

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Nasrallah, Yamen Y., Irfan Al-Anbagi, and Hussein T. Mouftah. "Adaptive Backoff Algorithm for EDCA in the IEEE 802.11p protocol." In 2016 International Wireless Communications and Mobile Computing Conference (IWCMC). IEEE, 2016. http://dx.doi.org/10.1109/iwcmc.2016.7577160.

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Wang, Qian, and Dongfeng Yuan. "An Adaptive Backoff Algorithm for IEEE 802.11 DCF with Cross-Layer Optimization." In 2010 6th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM). IEEE, 2010. http://dx.doi.org/10.1109/wicom.2010.5601153.

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Arun, I. B., T. G. Venkatesh, and Bhasker Dappuri. "QoS provisioning with adaptive backoff algorithm for IEEE 802.11ac under multipacket reception." In 2014 9th International Symposium on Communication Systems, Networks & Digital Signal Processing (CSNDSP). IEEE, 2014. http://dx.doi.org/10.1109/csndsp.2014.6923941.

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Qi, Yan, and Dexiu Huang. "Data Dissemination and Adaptive Backoff Algorithm for Wireless Cement Grouting Sensor Networks." In 2007 International Conference on Mechatronics and Automation. IEEE, 2007. http://dx.doi.org/10.1109/icma.2007.4303637.

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Ge, Zhibin, Wenbo Zhang, Ying Hao, and Baoying Zou. "Window Adaptive Backoff Algorithm Basing on Statistical Priority-based Multiple Access Protocol." In 2021 2nd International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI). IEEE, 2021. http://dx.doi.org/10.1109/ichci54629.2021.00043.

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