Towards evaluating emergent behavior of the Internet of Things using large scale simulation techniques

02/26/2018
by   Stig Bosmans, et al.
0

With the increase in Internet of Things devices and more decentralized architectures we see a new type of application gain importance, a type where local interactions between individual entities lead to a global emergent behavior, Emergent-based IoT (EBI) Systems. In this position paper we explore techniques to evaluate this emergent behavior in IoT applications. Because of the required scale and diversity this is not an easy task. Therefore, we mainly focus on a distributed simulation approach and provide an overview of possible techniques that could optimize the overall simulation performance. Our focus is both on modeling and simulation technology.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
07/04/2017

Modeling the Internet of Things: a simulation perspective

This paper deals with the problem of properly simulating the Internet of...
research
05/10/2021

A Review on Applications and Challenges in Internet of Things

World has been introduced with a new way of living by inventing this adv...
research
05/05/2020

Coverage and Deployment Analysis of Narrowband Internet of Things in the Wild

Narrowband Internet of Things (NB-IoT) is gaining momentum as a promisin...
research
03/08/2018

Dynamic IoT Choreographies -- Managing Discovery, Distribution, Failure and Reconfiguration

The Internet of Things is growing at a dramatic rate and extending into ...
research
11/04/2016

Multi-level Simulation of Internet of Things on Smart Territories

In this paper, a methodology is presented and employed for simulating th...
research
10/06/2017

Distributed Hybrid Simulation of the Internet of Things and Smart Territories

This paper deals with the use of hybrid simulation to build and compose ...
research
06/05/2020

Publish, subscribe, and federate!

Connecting usual things/objects to the Internet allows the monitoring an...

Please sign up or login with your details

Forgot password? Click here to reset