Design, Implementation, and Deployment of IoT/M2M Smart City Applications Based on MCNs

Rania Djehaiche; Salih Aidel; Massinissa Belazzoug; Nasir Saeed

doi:10.1007/978-3-031-21216-1_5

Design, Implementation, and Deployment of IoT/M2M Smart City Applications Based on MCNs

Rania Djehaiche
, Salih Aidel
, Massinissa Belazzoug
, Nasir Saeed

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

Abstract

Recently, the widespread adoption of the Internet of Things (IoT) and machine-to-machine (M2M) has led to a significant influx of smart services and applications. This research paper addresses the deployment and implementation of IoT/M2M technologies in the smart city, one of its most popular applications. The proposed solution presents a complete system for IoT/M2M smart cities based on different mobile cellular networks (MCNs) such as 2G, 4G, or 5G; to provide safety, convenience, energy saving, and urban quality of life improvement by using efficient and low-cost components such as Arduino microcontroller and NodeMCU board with several compatible sensors, actuators, and shields. The purpose of this paper is to present a practical example of an IoT/M2M smart city system; that contains several smart applications such as smart safety that consists of three services (fire and gas detection, air quality monitoring system, and automatic railway crossing system), smart agriculture and smart parking. All these applications are designed and implemented to control and monitor the city remotely via our mobile application called “Raniso,” which provides citizens with essential daily urban services in a simple and accessible way. The app also serves as a communication platform between citizens and city authorities, facilitating collaborative processes and digital participation within the smart city.

Original language	English
Title of host publication	Advanced Computational Techniques for Renewable Energy Systems
Editors	Mustapha Hatti
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	49-57
Number of pages	9
ISBN (Print)	9783031212154
DOIs	https://doi.org/10.1007/978-3-031-21216-1_5
Publication status	Published - 2023
Externally published	Yes
Event	6th International Conference on Artificial Intelligence in Renewable Energetic Systems, IC-AIRES 2022 - Tamanghasset, Algeria Duration: Nov 20 2022 → Nov 22 2022

Publication series

Name	Lecture Notes in Networks and Systems
Volume	591 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	6th International Conference on Artificial Intelligence in Renewable Energetic Systems, IC-AIRES 2022
Country/Territory	Algeria
City	Tamanghasset
Period	11/20/22 → 11/22/22

UN SDGs

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

SDG 11 Sustainable Cities and Communities

Keywords

IoT
M2M
MCNs
Raniso App
Smart city

ASJC Scopus subject areas

Control and Systems Engineering
Signal Processing
Computer Networks and Communications

Access to Document

10.1007/978-3-031-21216-1_5

Cite this

Djehaiche, R., Aidel, S., Belazzoug, M., & Saeed, N. (2023). Design, Implementation, and Deployment of IoT/M2M Smart City Applications Based on MCNs. In M. Hatti (Ed.), Advanced Computational Techniques for Renewable Energy Systems (pp. 49-57). (Lecture Notes in Networks and Systems; Vol. 591 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-21216-1_5

Design, Implementation, and Deployment of IoT/M2M Smart City Applications Based on MCNs. / Djehaiche, Rania; Aidel, Salih; Belazzoug, Massinissa et al.
Advanced Computational Techniques for Renewable Energy Systems. ed. / Mustapha Hatti. Springer Science and Business Media Deutschland GmbH, 2023. p. 49-57 (Lecture Notes in Networks and Systems; Vol. 591 LNNS).

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

Djehaiche, R, Aidel, S, Belazzoug, M & Saeed, N 2023, Design, Implementation, and Deployment of IoT/M2M Smart City Applications Based on MCNs. in M Hatti (ed.), Advanced Computational Techniques for Renewable Energy Systems. Lecture Notes in Networks and Systems, vol. 591 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 49-57, 6th International Conference on Artificial Intelligence in Renewable Energetic Systems, IC-AIRES 2022, Tamanghasset, Algeria, 11/20/22. https://doi.org/10.1007/978-3-031-21216-1_5

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Design, Implementation, and Deployment of IoT/M2M Smart City Applications Based on MCNs

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this