Simulation of the Internet of Things

TL;DR

This paper discusses advanced simulation techniques for the Internet of Things, focusing on scalability, real-time execution, and detailed modeling of large-scale IoT environments like smart cities.

Contribution

It introduces novel agent-based, adaptive PADS and multi-level simulation approaches tailored for large-scale, real-time IoT environment modeling.

Findings

Enhanced scalability for IoT simulations

Real-time execution of large IoT environments

Effective modeling of smart territories

Abstract

This paper presents main concepts and issues concerned with the simulation of Internet of Things (IoT). The heterogeneity of possible scenarios, arising from the massive deployment of an enormous amount of sensors and devices, imposes the use of sophisticated modeling and simulation techniques. In fact, the simulation of IoT introduces several issues from both quantitative and qualitative aspects. We discuss novel simulation techniques to enhance scalability and to permit the real-time execution of massively populated IoT environments (e.g., large-scale smart cities). In particular, we claim that agent-based, adaptive Parallel and Distributed Simulation (PADS) approaches are needed, together with multi-level simulation, which provide means to perform highly detailed simulations, on demand. We present a use case concerned with the simulation of smart territories.