Modeling the Internet of Things: a simulation perspective

descriptionPublicationkeyboard_double_arrow_right Article , Preprint , Other literature type , Conference object 01 Jul 2017Embargo end date: 01 Jan 2017Publisher:IEEEJournal:2017 International Conference on High Performance Computing & Simulation (HPCS)

Authors: D'ANGELO, GABRIELE; FERRETTI, STEFANO; GHINI, VITTORIO;

doi: 10.1109/hpcs.2017.13 , 10.48550/arxiv.1707.00832

arXiv: 1707.00832

handle: 11576/2679094

Modeling the Internet of Things: a simulation perspective

- Summary
- Subjects
- Metrics

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)

Related Organizations

University of Urbino
Italy
Alma Mater Studiorum University of Bologna
Italy

Keywords

Computer Science - Networking and Internet Architecture, Networking and Internet Architecture (cs.NI), Performance (cs.PF), FOS: Computer and information sciences, Computer Science - Performance, Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Multiagent Systems, Distributed, Parallel, and Cluster Computing (cs.DC), Internet of Things; Simulation; Wireless; Parallel and Distributed Simulation; Smart Cities, Multiagent Systems (cs.MA)

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	12
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%