Publication
Title
Real-time data dissemination and analytics platform for challenging IoT environments
Author
Abstract
The advent of Internet-of-Things (IoT) applications, such as environmental monitoring, smart cities, and home automation, has taken the IoT concept from hype to reality at a massive scale. However, more mission-critical application areas such as energy, security and health care do not only demand low-power connectivity, but also highly reliable and guaranteed performance. While fulfilling these requirements under controlled conditions such as urban and indoor environments is relatively trivial, tackling the same obstacles in a more challenging and dynamic setting is significantly more complicated. In environments where infrastructure is sparse, such as rural or remote areas, specialized infrastructure-less ad-hoc solutions are needed, which provide long-range multi-hop connectivity to remote sensors and actuators. In this paper we propose a new general-purpose IoT platform based on a combination of Low-powerWireless Personal Area Network (LoWPAN) and multi-hop Wireless Sensor Network (WSN) technology. It supports reliable and guaranteed realtime data dissemination and analysis, as well as actuator control, in dynamic and challenging infrastructure-less environments. In this paper, we present the IoT platform architecture and an initial hard-and software prototype. Moreover, a use case based on realtime monitoring and training adaptation for cyclists is presented. Based on this case study, evaluation results are presented that show the ability of the proposed platform to operate under challenging and dynamic conditions.
Language
English
Source (journal)
2017 GLOBAL INFORMATION INFRASTRUCTURE AND NETWORKING SYMPOSIUM (GIIS)
Source (book)
Global Information Infrastructure and Networking Symposium (GIIS), OCT 25-27, 2017, St Pierre, REUNION
Publication
New york : Ieee, 2017
ISBN
978-1-5090-4934-9
978-1-5090-4934-9
Volume/pages
(2017), p. 23-30
ISI
000426609000004
Full text (Publisher's DOI)
Full text (open access)
Full text (publisher's version - intranet only)
UAntwerpen
Faculty/Department
Research group
Project info
Intelligent Dense And Longe range IoT networks (IDEAL-IoT).
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 29.03.2018
Last edited 16.07.2021
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