IoT Traffic Shaping and the Massive Access Problem
Creators
- 1. Inst. of Theoretical & Applied Informatics Polish Ac. Sci. 44-100 Gliwice, PL, CNRS I3S Lab., University Cote d'Azur, FR, CNRS A. de Moivre Lab., Imperial College, and Yasar University, Izmir, TR
Description
Abstract—IoT gateways aim to meet the deadlines and QoS
needs of packets from as many IoT devices as possible, though
this can lead to a form of congestion known as the Massive
Access Problem (MAP). While much work was conducted on
predictive or reactive scheduling schemes to match the arrival
process of packets to the service capabilities of IoT gateways, such
schemes may use substantial computation and communication
between gateways and IoT devices. This paper proves that
the recently proposed “Quasi-Deterministic-Transmission-Policy
(QDTP)” traffic shaping approach which delays packets at IoT
devices, substantially alleviates the MAP: QDTP does not increase
overall end-to-end delay and reduces gateway queue length. We
then introduce the Adaptive Non-Deterministic Transmission Policy
(ANTP) that requires only one packet buffer at the gateway,
offering substantial QoS improvement over FIFO scheduling.
Files
ANTP-ICC22.pdf
Files
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