Adaptive Admission Control for IoT Applications in Home WiFi Networks

Pokhrel, Shiva Raj, Vu, Hai Le and Cricenti, Antonio L. 2020, Adaptive Admission Control for IoT Applications in Home WiFi Networks, IEEE Transactions on Mobile Computing, pp. 1-11, doi: 10.1109/tmc.2019.2935719.

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Title Adaptive Admission Control for IoT Applications in Home WiFi Networks
Author(s) Pokhrel, Shiva RajORCID iD for Pokhrel, Shiva Raj orcid.org/0000-0001-5712-2824
Vu, Hai Le
Cricenti, Antonio L.
Journal name IEEE Transactions on Mobile Computing
Start page 1
End page 11
Total pages 11
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Publication date 2020
ISSN 1536-1233
2161-9875
Keyword(s) Wireless fidelity
Internet of Things
Transient analysis
Sensors
IEEE 802.11 Standard
Wireless communication
Summary Assuring the required quality of service, despite the growing volume and variety of Internet of Things (IoT) traffic, has remained an immense challenge in the popular WiFi networks. The IoT devices using short TCP flows often attain very different levels of service due to the complicated interactions between the transport layer protocol and the shared dynamic wireless medium. We develop in this paper a novel queue management policy by using a transient model to capture the interactions of IoT (short TCP) flows over traditional traffic in WiFi networks. Based on the Markov regenerative processes coupled with fluid model, we discover that the adaptive admission control (AAC) mechanism at the WiFi access point (AP) improves the response time and fairness of IoT traffic over the lossy WiFi links. To this end, under the proposed AAC, packets are admitted into the AP in such a way that the fractions of packets in the AP buffer belonging to the different IoT devices are balanced resulting in a comparable level of service. We furthermore prove the stability of the system dynamics under AAC which provides important practical insights in designing Home WiFi IoT system.
Notes Early Access Article
Language eng
DOI 10.1109/tmc.2019.2935719
Indigenous content off
Field of Research 0805 Distributed Computing
0906 Electrical and Electronic Engineering
1005 Communications Technologies
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30141068

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