ABM_IoT_v5.pdf (2.42 MB)
Download fileAgent-Based Modelling for Distributed Decision Support in an IoT Network
preprint
posted on 2020-03-02, 18:56 authored by Majid ButtMajid Butt, Indrakshi Dey, Merim Dzaferagic, Maria Murphy, Nicholas Kaminski, Nicola MarchettiAn 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.comSubmitting Author's Institution
Nokia Bell LabsSubmitting Author's Country
- France