Modeling the Internet of Things: a simulation perspective

Abstract

This paper deals with the problem of properly simulating the Internet of Things (IoT). Simulating an IoT allows evaluating strategies that can be employed to deploy smart services over different kinds of territories. However, the heterogeneity of scenarios seriously complicates this task. This imposes the use of sophisticated modeling and simulation techniques. We discuss novel approaches for the provision of scalable simulation scenarios, that enable the real-time execution of massively populated IoT environments. Attention is given to novel hybrid and multi-level simulation techniques that, when combined with agent-based, adaptive Parallel and Distributed Simulation (PADS) approaches, can provide means to perform highly detailed simulations on demand. To support this claim, we detail a use case concerned with the simulation of vehicular transportation systems.

Proceedings of the IEEE 2017 International Conference on High Performance Computing and Simulation (HPCS 2017)

References in corpus (8)

• Multi-level Simulation of Internet of Things on Smart Territories
• New Trends in Parallel and Distributed Simulation: from Many-Cores to Cloud Computing
• Measuring the Complexity of Self-organizing Traffic Lights
• Simulation of the Internet of Things
• A Survey on Handover Management in Mobility Architectures
• The Simulation Model Partitioning Problem: an Adaptive Solution Based on Self-Clustering (Extended Version)
• Highly intensive data dissemination in complex networks
• Smart Shires: The Revenge of Countrysides (Extended Version)

Cited by in corpus (2)

• Distributed Hybrid Simulation of the Internet of Things and Smart Territories
• The Quest for Scalability and Accuracy in the Simulation of the Internet of Things: an Approach based on Multi-Level Simulation