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2020 | OriginalPaper | Chapter

1. Internet of Things (IoTs) Evolutionary Computation, Enterprise Modelling and Simulation

Authors : A. Haldorai, A. Ramu, M. Suriya

Published in: Business Intelligence for Enterprise Internet of Things

Publisher: Springer International Publishing

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Abstract

The knowledge of the Internet of Things (IoTs) is one of the vital competencies in determining the future state of smart homes, smart industries and smart cities. IoTs is also applied in small communication devices that can be accessed by users at an affordable price. This research begins with the evaluation of novel Internet Technology (IT) and manufacturing paradigms. As such the chapter acknowledges the necessities of enterprise models that enhance effective application of IoTs, admitting the novel infrastructure and their use in urban environment. IoTs enhances and assures the chances of linking various methods, for instance, the approaches requiring capacity architecture for gateways and devices based on a recognized model that is acknowledged in the domains of enterprise data systems. Due to the fact that there are a lot of modelling approaches, there is need to review the challenges and contributions of technologies used in various levels. This research therefore proposes the IoTs Sim-Edge simulators, which are meant to permit users to analyse the edge computing cases more easily since this simulator is more customizable and configurable in the ecosystem. The model is created based on the simulators that have been proposed in the past. However, the model purpose is to capture the general behaviour of IoTs and the edge computing planning deployment and development. Mostly, this model deals with the challenges that have been discussed.

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Title: Internet of Things (IoTs) Evolutionary Computation, Enterprise Modelling and Simulation
Authors: A. Haldorai
A. Ramu
M. Suriya
Publisher: Springer International Publishing
Book: Business Intelligence for Enterprise Internet of Things
Print ISBN: 978-3-030-44406-8

Electronic ISBN: 978-3-030-44407-5

Copyright Year: 2020
DOI: https://doi.org/10.1007/978-3-030-44407-5_1

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