Designing the sensing as a service ecosystem for Internet of Things

Perera, Charith ORCID: https://orcid.org/0000-0002-0190-3346, Barhamgi, Mahmoud, De, Suparna, Baarslag, Tim, Vecchio, Massimo and Choo, Kim-Kwang Raymond 2018. Designing the sensing as a service ecosystem for Internet of Things. IEEE Internet of Things 1 (2) , pp. 18-23. 10.1109/IOTM.2019.1800023

Preview

PDF - Accepted Post-Print Version Download (1MB) | Preview

Abstract

The Internet of Things envisions the creation of an environment where everyday objects (e.g., microwaves, fridges, cars, coffee machines) are connected to the Internet and make users' lives more productive, efficient, and convenient. During this process, everyday objects capture a vast amount of data that can be used to understand individuals and their behaviors. In the current IoT ecosystems, such data is collected and used only by the respective IoT solutions. There is no formal way to share data with external entities. We believe this is very inefficient and unfair for users. We believe that users, as data owners, should be able to control, manage, and share data about them in any way they choose and maximize the utility of their data. To achieve this, we proposed the sensing as a service (S2aaS) model. In this article, we discuss the (S2aaS) ecosystem in terms of its architecture, components, and related user interaction designs. This article aims to highlight the weaknesses of the current IoT ecosystem and to explain how S2aaS would eliminate those weaknesses. We also discuss how an everyday user may engage with the S2aaS ecosystem as well as design challenges

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Publisher:	Institute of Electrical and Electronics Engineers (IEEE)
ISSN:	2327-4662
Date of First Compliant Deposit:	24 April 2019
Last Modified:	08 Nov 2023 09:26
URI:	https://orca.cardiff.ac.uk/id/eprint/121687

Actions (repository staff only)

Edit Item