TY - GEN
T1 - Mitigating the Massive Access Problem in the Internet of Things
AU - Gelenbe, Erol
AU - Nakıp, Mert
AU - Marek, Dariusz
AU - Czachorski, Tadeusz
N1 - Publisher Copyright:
© 2022, The Author(s).
PY - 2022
Y1 - 2022
N2 - The traffic from the large number of IoT devices connected to the IoT is a source of congestion known as the Massive Access Problem (MAP), that results in packet losses, delays and missed deadlines for real-time data. This paper reviews the literature on MAP and summarizes recent results on two approaches that have been designed to mitigate MAP. One approach is based on randomizing the packet arrival instants to IoT gateways within a given time interval that is chosen so that packet arrivals do not exceed their deadlines, but also so that they do not constitute bulk arrivals. The second approach is a novel traffic shaping policy named the Quasi-Deterministic-Transmission-Policy (QDTP) which has been proved to drastically reduce queue formation at the receiving gateway by delaying packet departures from the IoT devices in a judicious manner. Both analytical and experimental results are summarized, that describe the benefits of these techniques.
AB - The traffic from the large number of IoT devices connected to the IoT is a source of congestion known as the Massive Access Problem (MAP), that results in packet losses, delays and missed deadlines for real-time data. This paper reviews the literature on MAP and summarizes recent results on two approaches that have been designed to mitigate MAP. One approach is based on randomizing the packet arrival instants to IoT gateways within a given time interval that is chosen so that packet arrivals do not exceed their deadlines, but also so that they do not constitute bulk arrivals. The second approach is a novel traffic shaping policy named the Quasi-Deterministic-Transmission-Policy (QDTP) which has been proved to drastically reduce queue formation at the receiving gateway by delaying packet departures from the IoT devices in a judicious manner. Both analytical and experimental results are summarized, that describe the benefits of these techniques.
KW - Diffusion approximation
KW - Internet of Things (IoT)
KW - IoT Gateways
KW - Massive Access Problem
KW - Quasi-Deterministic Transmission Policy
KW - Trace driven simulations
UR - https://www.scopus.com/pages/publications/85134345728
U2 - 10.1007/978-3-031-09357-9_10
DO - 10.1007/978-3-031-09357-9_10
M3 - Conference contribution
AN - SCOPUS:85134345728
SN - 9783031093562
T3 - Communications in Computer and Information Science
SP - 118
EP - 132
BT - Security in Computer and Information Sciences - 2nd International Symposium, EuroCybersec 2021, Revised Selected Papers
A2 - Gelenbe, Erol
A2 - Jankovic, Marija
A2 - Kehagias, Dionysios
A2 - Marton, Anna
A2 - Vilmos, Andras
PB - Springer Science and Business Media Deutschland GmbH
T2 - 2nd International Symposium on Security in Computer and Information Sciences, EuroCybersec 2021
Y2 - 25 October 2021 through 26 October 2021
ER -