Title: A self-organising organisational paradigm for using multi-agent systems in traffic control application of VANETs

Authors: Mir Bagher Hosseini; Amin Rahmanzadeh; Eslam Nazemi

Addresses: Faculty of Computer Engineering and Sciences, Shahid Beheshti University G.C., Tehran, Iran ' Faculty of Computer Engineering and Sciences, Shahid Beheshti University G.C., Tehran, Iran ' Faculty of Computer Engineering and Sciences, Shahid Beheshti University G.C., Tehran, Iran

Abstract: The growth of small systems towards ultra-large-scale ones gradually leads us to leave the control of those systems to themselves. Autonomic computing has come to help. One of the sub-categories of autonomic computing, which is proper for distributed systems, is self-organisation. In this paper, we focus on vehicular ad hoc networks (VANETs). The dynamic nature of VANETs makes automatic management necessary. VANETs' characteristics, such as including vehicles with computing and energy resources, bring us to the idea of assuming them as multi-agent systems. Having this in mind, we can provide the required automatic management by adding self-organisation mechanisms to VANETs. In this paper, we present team-coalition traffic control (TCTC), a self-organising organisational paradigm to add self-organisation features to VANETs for traffic control. The presented organisational paradigm works without any need for roadside traffic control infrastructure, and it is fully distributed. We aim to reduce the waiting time for vehicles to pass an intersection.

Keywords: multi-agent systems; MASs; vehicular ad hoc networks; VANETs; autonomic computing; self-adaptation; self-organisation; traffic control.

DOI: 10.1504/IJSNET.2022.121699

International Journal of Sensor Networks, 2022 Vol.38 No.3, pp.143 - 153

Received: 03 Oct 2020
Accepted: 12 May 2021
Published online: 24 Mar 2022 *

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