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menne2018investigating


Florian Menne, "Investigating Selective Wake-up Transceivers for IEEE 802.11 WLAN," Master's Thesis, Department of Computer Science, Paderborn University (UPB), June 2018. (Advisors: Johannes Blobel, Florian Klingler and Falko Dressler)

Abstract

In wireless LAN (WLAN), power saving is realized in a duty cycled manner. While connected to an access point (AP), the station (STA) wakes-up for the beacons sent by it, to determine if traffic is buffered at the AP. This comes along with two drawbacks. First, every time the STA wakes-up costs energy. Second, the worst case packet delay from the AP to the STA depends on the beacon interval, as the beacon inherits the traffic indication map (TIM) which is used to inform a STA about outstanding packets. In 2016, the Institute of Electrical and Electronics Engineers (IEEE) has started to address this drawbacks in a task group called IEEE 802.11tgba which is working on integrating wake-up receivers in the IEEE 802.11 standard. In this thesis, I developed a prototype which combines a commercially available WLAN adapter with a wake-up receiver. Afterwards, the system performance was measured and it turned out, that a wake-up receiver can reduce the idle energy consumption by 64 % with the used adapters at a beacon interval of 100 ms, which is common for most WLAN setups. Packet delay measurements, done from application level, have shown that the packet delay is lower and more stable in comparison to the built-in power save. A last measurement, in which I forced the WLAN adapter to sleep while traffic is flowing, indicates a robust behavior against bursty traffic. At the end, I can conclude that WLAN can benefit in different situations from the new standard which is developed by the task group IEEE 802.11tgba.

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Florian Menne

BibTeX reference

@phdthesis{menne2018investigating,
    author = {Menne, Florian},
    doi = {10.17619/UNIPB/1-703},
    title = {{Investigating Selective Wake-up Transceivers for IEEE 802.11 WLAN}},
    advisor = {Blobel, Johannes and Klingler, Florian and Dressler, Falko},
    institution = {Department of Computer Science},
    location = {Paderborn, Germany},
    month = {6},
    school = {Paderborn University (UPB)},
    type = {Master's Thesis},
    year = {2018},
   }
   
   

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