Development of mobile IoT solutions: approaches, architectures, and methodologies

Magaia, Naercio, Gomes, Pedro, Silva, Lion, Sousa, Breno, Mavromoustakis, Constandinos X and Mastorakis, George (2021) Development of mobile IoT solutions: approaches, architectures, and methodologies. IEEE Internet of Things Journal, 8 (22). pp. 16452-16472. ISSN 2327-4662

[img] PDF (© 2020 IEEE) - Accepted Version
Download (399kB)

Abstract

Modern Living, as we know it, has been impacted meaningfully by the Internet of Things (IoT). IoT consists of a network of things that collect data from machines (e.g., mobile devices) and people. Mobile application development is a flourishing tendency, given the increasing popularity of smartphones. Nowadays, users are accessing their desired services on the smartphone by means of dedicated applications as the latter offers a more customized and prompt service. In addition, companies are also looking to persuade users by offering interactive and effective mobile applications. Mobile application developers are using IoT to develop better applications. However, there is no generalized consensus on the selection of best architecture or even the most suitable communications protocols to be used on an IoT application development. Therefore, this article aims at presenting approaches, architectures, and methodologies relevant to the development of mobile IoT solutions.

Item Type: Article
Additional Information: © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
Keywords: Internet of Things, Computer architecture, Protocols, Cloud computing, Software, TCPIP, Security, Architecture, Internet of Things (IoT), methodology, mobile development
Schools and Departments: School of Engineering and Informatics > Informatics
SWORD Depositor: Mx Elements Account
Depositing User: Mx Elements Account
Date Deposited: 28 Feb 2022 09:12
Last Modified: 28 Feb 2022 09:15
URI: http://sro.sussex.ac.uk/id/eprint/104593

View download statistics for this item

📧 Request an update