Shakya Joshua, Chopin Morgan, Merghem-Boulahia Leila
Orange Innovation, 92320 Châtillon, France.
LIST3N Laboratory, Université de Technologie de Troyes, 10300 Troyes, France.
Sensors (Basel). 2024 May 28;24(11):3471. doi: 10.3390/s24113471.
This paper introduces an Agent-Based Model (ABM) designed to investigate the dynamics of the Internet of Things (IoT) ecosystem, focusing on dynamic coalition formation among IoT Service Providers (SPs). Drawing on insights from our previous research in 5G network modeling, the ABM captures intricate interactions among devices, Mobile Network Operators (MNOs), SPs, and customers, offering a comprehensive framework for analyzing the IoT ecosystem's complexities. In particular, to address the emerging challenge of dynamic coalition formation among SPs, we propose a distributed Multi-Agent Dynamic Coalition Formation (MA-DCF) algorithm aimed at enhancing service provision and fostering collaboration. This algorithm optimizes SP coalitions, dynamically adjusting to changing demands over time. Through extensive experimentation, we evaluate the algorithm's performance, demonstrating its superiority in terms of both payoff and stability compared to three classical coalition formation algorithms: static coalition, non-overlapping coalition, and random coalition. This study significantly contributes to a deeper understanding of the IoT ecosystem's dynamics and highlights the potential benefits of dynamic coalition formation among SPs, providing valuable insights and opening future avenues for exploration.
本文介绍了一种基于智能体的模型（ABM），旨在研究物联网（IoT）生态系统的动态特性，重点关注物联网服务提供商（SP）之间的动态联盟形成。借鉴我们之前在5G网络建模研究中的见解，该ABM捕捉了设备、移动网络运营商（MNO）、SP和客户之间的复杂交互，为分析物联网生态系统的复杂性提供了一个全面的框架。特别是，为应对SP之间动态联盟形成这一新兴挑战，我们提出了一种分布式多智能体动态联盟形成（MA-DCF）算法，旨在提高服务提供能力并促进协作。该算法优化了SP联盟，随时间动态调整以适应不断变化的需求。通过广泛的实验，我们评估了该算法的性能，证明了与三种经典联盟形成算法（静态联盟、非重叠联盟和随机联盟）相比，其在收益和稳定性方面的优越性。本研究对更深入理解物联网生态系统的动态特性做出了重大贡献，并突出了SP之间动态联盟形成的潜在好处，提供了有价值的见解并为未来的探索开辟了道路。
