Title
Swarm economy: A model for transactions in a distributed and organic IoT platform
Date Issued
01 June 2019
Access level
metadata only access
Resource Type
journal article
Author(s)
De Biase L.C.C.
Fedrecheski G.
Duarte G.M.
Rangel P.S.S.
Zuffo M.K.
University of São Paulo
Publisher(s)
Institute of Electrical and Electronics Engineers Inc.
Abstract
The Internet of Things (IoT) is steadily growing and migrating to decentralized architectures. In this context the Swarm approach, based on organic, edge-centric IoT networks, proposes one step further toward cooperation among devices, through the creation of a communication mediator called Swarm Broker. An important aspect in creating a cooperation network in the Swarm is the economical domain: the Swarm economy that guarantees fair rules to stimulate resource sharing among participants. This economic aspect is even more challenging in networks with distributed governance and motivates the adoption of a technology for a trustworthy and immutable public registry, such as blockchain, to store transaction information. In this paper, we aim to create an economic model that regulate the cooperation among the participants of the Swarm, by implementing strategies, to fulfill the restrictions posed by the decentralized network and the presence of resource-constrained devices that integrate the Swarm. We created a microeconomic model for resource sharing in the Swarm and a transaction model, based on the price and reputation of participants. We created a blockchain-based system for storing currency, contract, and reputation information in a distributed way. We included the resulting models and implementation into the Swarm network, by adding a module into the Swarm Broker.
Start page
4561
End page
4572
Volume
6
Issue
3
Language
English
OCDE Knowledge area
Ingeniería de sistemas y comunicaciones Ingeniería, Tecnología
Scopus EID
2-s2.0-85058650819
Source
IEEE Internet of Things Journal
ISSN of the container
23274662
Sponsor(s)
Manuscript received June 1, 2018; revised September 15, 2018 and November 9, 2018; accepted November 30, 2018. Date of publication December 11, 2018; date of current version June 19, 2019. This study was financed in part by Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brazil (CAPES) - Finance Code 001, CAPES Pro-Defesa Auxílio 2993/2013, Pró-Reitoria de Pós-Graduação da Universidade de São Paulo, Laboratório de Sistemas Integráveis Tecnológico (LSI-TEC), and the National Secretary for Digital Policies (SEPIN) within the Ministry of Science, Technology, Innovation and Communications (MCTIC) of Brazil - Finance code 01250.054503/2017-72. (Corresponding author: Laisa Caroline Costa De Biase.) L. C. C. De Biase, G. Fedrecheski, G. M. Duarte, P. S. S. Rangel, and M. K. Zuffo are with the Engineering School, University of São Paulo (Escola Politecnica da USP), São Paulo 05508-090, Brazil (e-mail: laisa@lsi.usp.br; geovane@lsi.usp.br; gmduarte96@gmail.com; ph.rangel@usp.br; mkzuffo@lsi.usp.br).
Sources of information: Directorio de Producción Científica Scopus