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    Towards Optimal Buffer Size in Wi-Fi Networks

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    Type
    Dissertation
    Authors
    Showail, Ahmad cc
    Advisors
    Shihada, Basem cc
    Committee members
    Kalnis, Panos cc
    Alouini, Mohamed-Slim cc
    Ghafoor, Arif
    Program
    Computer Science
    KAUST Department
    Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
    Date
    2016-01-19
    Permanent link to this record
    http://hdl.handle.net/10754/595314
    
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    Abstract
    Buffer sizing is an important network configuration parameter that impacts the quality of data traffic. Falling memory cost and the fallacy that ‘more is better’ lead to over provisioning network devices with large buffers. Over-buffering or the so called ‘bufferbloat’ phenomenon creates excessive end-to-end delay in today’s networks. On the other hand, under-buffering results in frequent packet loss and subsequent under-utilization of network resources. The buffer sizing problem has been studied extensively for wired networks. However, there is little work addressing the unique challenges of wireless environment. In this dissertation, we discuss buffer sizing challenges in wireless networks, classify the state-of-the-art solutions, and propose two novel buffer sizing schemes. The first scheme targets buffer sizing in wireless multi-hop networks where the radio spectral resource is shared among a set of con- tending nodes. Hence, it sizes the buffer collectively and distributes it over a set of interfering devices. The second buffer sizing scheme is designed to cope up with recent Wi-Fi enhancements. It adapts the buffer size based on measured link characteristics and network load. Also, it enforces limits on the buffer size to maximize frame aggregation benefits. Both mechanisms are evaluated using simulation as well as testbed implementation over half-duplex and full-duplex wireless networks. Experimental evaluation shows that our proposal reduces latency by an order of magnitude.
    Citation
    Showail, A. (2016). Towards Optimal Buffer Size in Wi-Fi Networks. KAUST Research Repository. https://doi.org/10.25781/KAUST-L9DY8
    DOI
    10.25781/KAUST-L9DY8
    ae974a485f413a2113503eed53cd6c53
    10.25781/KAUST-L9DY8
    Scopus Count
    Collections
    PhD Dissertations; Computer Science Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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