Edge Computing Networks by Using WSNs with Efficient Distributed Leader Election for Measuring Air Pollution

Sergio Medina; Christian Fernández-Campusano; Leonardo Espinosa-Leal; Michael Miranda-Sandoval; Claudia Durán

doi:10.1007/978-3-031-95127-5_10

Edge Computing Networks by Using WSNs with Efficient Distributed Leader Election for Measuring Air Pollution

Sergio Medina^*
, Christian Fernández-Campusano
, Leonardo Espinosa-Leal
, Michael Miranda-Sandoval
, Claudia Durán

^*Corresponding author for this work

Not published at VTT

University of Santiago Chile
Arcada University of Applied Sciences
Universidad Tecnológica Metropolitana

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Abstract

Monitoring environmental conditions is of paramount importance for identifying and mitigating pollution sources. Air quality is a crucial factor, and sensors monitor pollutants such as PM2.5, PM10, NO ₂, and O ₃. Ubiquitous systems have the ability to monitor these measurements. One of the biggest challenges for networks in ubiquitous systems is reliability, which requires Distributed Leader Election (DLE) algorithms. The elected leader ensures data reliability from the network layer to Edge Computing (EC), improving latency between Wireless Sensor Network (WSN) and Cloud Computing (CC). This paper proposes a three-layer architecture: Internet of Things (IoT), Edge Computing (EC) with Field-Programmable Gate Array (FPGA), and Cloud Computing (CC). Our findings show that the architecture improves monitoring, leader selection, and air quality data accuracy, thus optimizing system reliability.

Original language	English
Title of host publication	International Conference on Computational Science and Computational Intelligence
Publisher	Springer
Pages	129-142
Number of pages	14
ISBN (Electronic)	978-3-031-95127-5
ISBN (Print)	978-3-031-95126-8
DOIs	https://doi.org/10.1007/978-3-031-95127-5_10
Publication status	Published - 10 Aug 2025
MoE publication type	A4 Article in a conference publication
Event	11th Annual Conference on Computational Science & Computational Intelligence, CSCI 2024 - Las Vegas, United States Duration: 11 Dec 2024 → 13 Dec 2024

Conference

Conference	11th Annual Conference on Computational Science & Computational Intelligence, CSCI 2024
Country/Territory	United States
City	Las Vegas
Period	11/12/24 → 13/12/24

UN SDGs

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

SDG 11 Sustainable Cities and Communities

Keywords

Distributed leader election
Edge Computing
Measure Air Pollution
Smart City
Wireless Sensor Network

Access to Document

10.1007/978-3-031-95127-5_10

Cite this

@inproceedings{f1a7ffb544b241e2bef6af36be79ae38,

title = "Edge Computing Networks by Using WSNs with Efficient Distributed Leader Election for Measuring Air Pollution",

abstract = "Monitoring environmental conditions is of paramount importance for identifying and mitigating pollution sources. Air quality is a crucial factor, and sensors monitor pollutants such as PM2.5, PM10, NO 2, and O 3. Ubiquitous systems have the ability to monitor these measurements. One of the biggest challenges for networks in ubiquitous systems is reliability, which requires Distributed Leader Election (DLE) algorithms. The elected leader ensures data reliability from the network layer to Edge Computing (EC), improving latency between Wireless Sensor Network (WSN) and Cloud Computing (CC). This paper proposes a three-layer architecture: Internet of Things (IoT), Edge Computing (EC) with Field-Programmable Gate Array (FPGA), and Cloud Computing (CC). Our findings show that the architecture improves monitoring, leader selection, and air quality data accuracy, thus optimizing system reliability.",

keywords = "Distributed leader election, Edge Computing, Measure Air Pollution, Smart City, Wireless Sensor Network",

author = "Sergio Medina and Christian Fern{\'a}ndez-Campusano and Leonardo Espinosa-Leal and Michael Miranda-Sandoval and Claudia Dur{\'a}n",

year = "2025",

month = aug,

day = "10",

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language = "English",

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booktitle = "International Conference on Computational Science and Computational Intelligence",

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Medina, S, Fernández-Campusano, C, Espinosa-Leal, L, Miranda-Sandoval, M & Durán, C 2025, Edge Computing Networks by Using WSNs with Efficient Distributed Leader Election for Measuring Air Pollution. in International Conference on Computational Science and Computational Intelligence. Springer, pp. 129-142, 11th Annual Conference on Computational Science & Computational Intelligence, CSCI 2024 , Las Vegas, Nevada, United States, 11/12/24. https://doi.org/10.1007/978-3-031-95127-5_10

Edge Computing Networks by Using WSNs with Efficient Distributed Leader Election for Measuring Air Pollution. / Medina, Sergio; Fernández-Campusano, Christian; Espinosa-Leal, Leonardo et al.
International Conference on Computational Science and Computational Intelligence. Springer, 2025. p. 129-142.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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AU - Medina, Sergio

AU - Fernández-Campusano, Christian

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AU - Miranda-Sandoval, Michael

AU - Durán, Claudia

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