Ο Αντώνης Πλιάτσιος είναι:
Internet of Things, Low Power Wide Area Networks, LoraWan, Semantic IoT
Abstract
The Internet of Things (IoT) paradigm advocates
the massive use of sensing and communication technologies
embedded in the physical world, which provides the potential to
collect huge volumes of data and connect them to intelligent
systems. As the number of IoT devices is increasing with
geometric progress, ensuring interoperability and handling of
the big heterogeneous data they generate is of major importance
for the development of smart applications and services. In this
context, a systematic review of contemporary IoT frameworks
based on a multi-level interoperability consideration is
performed and findings are critically discussed. Challenges and
open issues that emerge in this research area are pointed out,
and research opportunities and insights are suggested.
Motivated by the shortcomings of the current solutions to
support open, interoperable, intelligent and collaborative IoT
environments, the concept of Semantic Social Network of
Things (SSNT) is introduced. SSNT specifies the integration of
device-to-device collaborative services which semantically
enable heterogeneous objects to (socially) interact and
participate in communities of smart objects. By establishing
social relationships and taking collaborative actions, such
communities can support users to achieve their goals. A
middleware-based framework architecture is presented to enact
the SSNT abstraction, and a proof-of-concept application in the
smart agriculture domain is outlined to demonstrate important
features of this approach.
Copyright Notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted or mass reproduced without the explicit permission of the copyright holder.
Abstract
The Internet of Things (ΙοΤ) is a concept that describes the connection of various devices with built-in sensors and communication equipment to achieve the collection and transmission of data in a network. IoT devices are increasing with geometric progress, and ensuring interoperability and handling of the enormous heterogeneous data generated is of major importance for the creation of intelligent applications and services. This paper presents the state of art and current solutions on the issues of interoperability in the IoT domain, as well as the challenges and open issues. Finally, a discussion is provided on what future research should focus on and solutions are outlined to achieve interoperability in IoT systems that can lead to a “Social Network” of Things.
Copyright Notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted or mass reproduced without the explicit permission of the copyright holder.
Copyright Notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted or mass reproduced without the explicit permission of the copyright holder.
Copyright Notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted or mass reproduced without the explicit permission of the copyright holder.