TechRxiv
ABM_IoT_v5.pdf (2.42 MB)

Agent-Based Modelling for Distributed Decision Support in an IoT Network

Download (2.42 MB)
preprint
posted on 02.03.2020, 18:56 by Majid Butt, Indrakshi Dey, Merim Dzaferagic, Maria Murphy, Nicholas Kaminski, Nicola Marchetti
An increasing number of emerging applications, e.g.,
Internet of Things (IoT), vehicular communications, augmented reality, and the growing complexity due to the interoperability requirements of these systems, lead to the need to change the tools used for the modeling and analysis of those networks. Agent-Based Modeling (ABM) as a bottom-up modeling approach considers a network of autonomous agents interacting with each other, and therefore represents an ideal framework to comprehend the interactions of heterogeneous nodes in a complex environment. Here, we investigate the suitability of ABM to
model the communication aspects of a road traffic management system as an example of an IoT network. We model, analyze and compare various Medium Access Control (MAC) layer protocols for two different scenarios, namely uncoordinated and coordinated. Besides, we model the scheduling mechanisms for the coordinated scenario as a high level MAC protocol by using three different approaches: Centralized Decision Maker, DESYNC and decentralized learning MAC (L-MAC). The results clearly
show the importance of coordination between multiple decision makers in order to improve the information reporting error and spectrum utilization of the system.

History

Email Address of Submitting Author

majidb.pk@gmail.com

Submitting Author's Institution

Nokia Bell Labs

Submitting Author's Country

France

Licence

Exports

Read the peer-reviewed publication

in IEEE Internet of Things Journal

Licence

Exports