Abstract
With the rapid popularization of wireless communication devices, wireless local area network (WLAN) is ubiquitous in daily life. However, the demand for wireless communication services is growing rapidly and brings new challenges to WLAN technology. The problem of performance degradation under dense deployment network scenarios is an important topic in the next generation WLAN (NGW). This paper proposes fractional backoff algorithm, named eat-B, to enhance area throughput. Eat-B introduces fractional backoff and enables the nodes who provide more contributions for the area throughput to finish their backoff process faster. Simulation results indicate that the area throughput of the eat-B algorithm outperforms the binary exponential backoff (BEB) algorithm adopted by the traditional IEEE 802.11, especially under dense deployment scenarios.
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Acknowledgement
This work was supported in part by the National Natural Science Foundations of CHINA (Grant No. 61771390, No. 61501373, No. 61771392, and No. 61271279), the National Science and Technology Major Project (Grant No. 2016ZX03001018-004, and No. 2015ZX03002006-004), and the Fundamental Research Funds for the Central Universities (Grant No. 3102017ZY018).
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Cai, X. et al. (2019). Fractional Backoff Algorithm for the Next Generation WLAN. In: Chen, JL., Pang, AC., Deng, DJ., Lin, CC. (eds) Wireless Internet. WICON 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 264. Springer, Cham. https://doi.org/10.1007/978-3-030-06158-6_3
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DOI: https://doi.org/10.1007/978-3-030-06158-6_3
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