Engineering cooperative smart things based on embodied cognition

Nathalia Moraes Do Nascimento; Carlos Jose Pereira De Lucena

doi:10.1109/AHS.2017.8046366

Engineering cooperative smart things based on embodied cognition

Nathalia Moraes Do Nascimento
, Carlos Jose Pereira De Lucena

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

12 Scopus citations

Abstract

The goal of the Internet of Things (IoT) is to transform any thing around us, such as a trash can or a street light, into a smart thing. A smart thing has the ability of sensing, processing, communicating and/or actuating. In order to achieve the goal of a smart IoT application, such as minimizing waste transportation costs or reducing energy consumption, the smart things in the application scenario must cooperate with each other without a centralized control. Inspired by known approaches to design swarm of cooperative and autonomous robots, we modeled our smart things based on the embodied cognition concept. Each smart thing is a physical agent with a body composed of a microcontroller, sensors and actuators, and a brain that is represented by an artificial neural network. This type of agent is commonly called an embodied agent. The behavior of these embodied agents is autonomously configured through an evolutionary algorithm that is triggered according to the application performance. To illustrate, we have designed three homogeneous prototypes for smart street lights based on an evolved network. This application has shown that the proposed approach results in a feasible way of modeling decentralized smart things with self-developed and cooperative capabilities.

Original language	English (US)
Title of host publication	2017 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	109-116
Number of pages	8
ISBN (Electronic)	9781538634394
DOIs	https://doi.org/10.1109/AHS.2017.8046366
State	Published - Sep 19 2017
Event	2017 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2017 - Pasadena, United States Duration: Jul 24 2017 → Jul 27 2017

Publication series

Name	2017 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2017

Conference

Conference	2017 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2017
Country/Territory	United States
City	Pasadena
Period	7/24/17 → 7/27/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Hardware and Architecture
Aerospace Engineering
Electrical and Electronic Engineering
Instrumentation

Access to Document

10.1109/AHS.2017.8046366

Cite this

Moraes Do Nascimento, N., & De Lucena, C. J. P. (2017). Engineering cooperative smart things based on embodied cognition. In 2017 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2017 (pp. 109-116). Article 8046366 (2017 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AHS.2017.8046366

@inproceedings{9b47fb366c6445268d2744948751250d,

title = "Engineering cooperative smart things based on embodied cognition",

abstract = "The goal of the Internet of Things (IoT) is to transform any thing around us, such as a trash can or a street light, into a smart thing. A smart thing has the ability of sensing, processing, communicating and/or actuating. In order to achieve the goal of a smart IoT application, such as minimizing waste transportation costs or reducing energy consumption, the smart things in the application scenario must cooperate with each other without a centralized control. Inspired by known approaches to design swarm of cooperative and autonomous robots, we modeled our smart things based on the embodied cognition concept. Each smart thing is a physical agent with a body composed of a microcontroller, sensors and actuators, and a brain that is represented by an artificial neural network. This type of agent is commonly called an embodied agent. The behavior of these embodied agents is autonomously configured through an evolutionary algorithm that is triggered according to the application performance. To illustrate, we have designed three homogeneous prototypes for smart street lights based on an evolved network. This application has shown that the proposed approach results in a feasible way of modeling decentralized smart things with self-developed and cooperative capabilities.",

author = "\{Moraes Do Nascimento\}, Nathalia and \{De Lucena\}, \{Carlos Jose Pereira\}",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2017 ; Conference date: 24-07-2017 Through 27-07-2017",

year = "2017",

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doi = "10.1109/AHS.2017.8046366",

language = "English (US)",

series = "2017 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2017",

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address = "United States",

}

Moraes Do Nascimento, N & De Lucena, CJP 2017, Engineering cooperative smart things based on embodied cognition. in 2017 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2017., 8046366, 2017 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2017, Institute of Electrical and Electronics Engineers Inc., pp. 109-116, 2017 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2017, Pasadena, United States, 7/24/17. https://doi.org/10.1109/AHS.2017.8046366

Engineering cooperative smart things based on embodied cognition. / Moraes Do Nascimento, Nathalia; De Lucena, Carlos Jose Pereira.
2017 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 109-116 8046366 (2017 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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ER -

Engineering cooperative smart things based on embodied cognition

Abstract

Publication series

Conference

UN SDGs

All Science Journal Classification (ASJC) codes

Access to Document

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