Special Issue "Optical Technologies for IoT, Smart Industry, and Smart Infrastructures"

Special Issue Editor

Guest Editor
Prof. Slavisa Aleksic

Institute of Communications Engineering, Leipzig University of Telecommunications (HfTL), Gustav-Freytag-Str. 43-45, 04277 Leipzig, Germany
Website | E-Mail
Interests: telecommunications; optical networks; networking; smart infrastructures; energy efficiency

Special Issue Information

Dear Colleagues,

The concept of a smart city is currently receiving significant attention, not only from research and development, but also from public authorities and private companies. The main prerequisite for implementing smart city applications and systems is an efficient and reliable smart infrastructure, which is based on an integration of basic infrastructure like roads, railways, metro, trams, electricity grids, water distribution systems, and other constructed facilities, with distributed smart sensing systems, information technology, and communication networks. Similarly, the fourth industrial revolution is driven by recent developments in information and communication technology (ICT) and promises to radically alter the face of industry in the coming decades. With a widespread implementation of Machine-to-Machine (M2M) communication and the Internet of Things (IoT) the traditional boundaries will disappear. An effective IoT-network is a key factor in delivering an integrated and intelligent smart infrastructures and systems.

Optical technology will play a significant role in developing and implementing reliable, high-performance, and efficient smart infrastructures and systems. On the one hand, there are many ways to utilize optical effects and materials to build reliable, efficient, and precise sensors, and on the other, advanced short- and long-distance optical communication systems are able to provide future-proof links and networks to optimally support future IoT and other applications and services.

This Special Issue aims to publish original, significant, and visionary papers describing novel research on optical technologies, systems, and networks for application in distributed and smart sensing systems, M2M, IoT, smart industries, smart infrastructures, and smart cities. Submissions of current and original research results from experts in academia and industry worldwide are strongly encouraged.

Topics of interest include, but are not limited to:

Sensors based on optical materials and technologies

  • Novel methods and structures  for building optical sensors
  • Applications of optical sensors
  • Optical sensor networks
  • Optical sensors for measuring strain, temperature, tilt, force, acceleration, rotation, humidity, vibration, velocity, humidity, electric, magnetic and acoustic fields, etc.
  • Characterization of optical sensors

Optical communication systems and networks for IoT, smart industry, and smart infrastructures

  • Optical transmission technologies for smart systems and infrastructures
  • Optical networks for industry applications
  • Optical wireless communications with application in smart industry and infrastructures
  • Advanced concepts for optical networks providing high flexibility, adaptability, reliability, dynamics, and energy efficiency
  • Availability and reliability of optical systems and networks
  • Methods for optical network slicing, software defined networking (SDN), and network function virtualization (NFV)
  • Optical cloud networks
  • Optical private networks for vertical markets
  • Optical network concepts and technologies for critical infrastructures
  • Optical wireless backhaul/fronthaul
  • Short-range optical communication systems and networks

Prof. Slavisa Aleksic
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Sensor and Actuator Networks is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 350 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


  • optical sensors
  • sensor networks
  • optical communications
  • optical networks
  • optical wireless communications
  • smart industry
  • smart infrastructure
  • Internet of Things
  • critical infrastructures
  • advanced network concepts

Published Papers (1 paper)

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Open AccessArticle Improving Animal-Human Cohabitation with Machine Learning in Fiber-Wireless Networks
J. Sens. Actuator Netw. 2018, 7(3), 35; https://doi.org/10.3390/jsan7030035
Received: 15 June 2018 / Accepted: 26 July 2018 / Published: 9 August 2018
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In this paper, we investigate an animal-human cohabitation problem with the help of machine learning and fiber-wireless (FiWi) access networks integrating cloud and edge (fog) computing. We propose an early warning system which detects wild animals near the road/rail with the help of
[...] Read more.
In this paper, we investigate an animal-human cohabitation problem with the help of machine learning and fiber-wireless (FiWi) access networks integrating cloud and edge (fog) computing. We propose an early warning system which detects wild animals near the road/rail with the help of wireless sensor networks and alerts passing vehicles of possible animal crossing. Additionally, we show that animals’ detection at the earliest and the related processing, if possible, at sensors would reduce the energy consumption of edge devices and the end-to-end delay in notifying vehicles, as compared to the scenarios where raw sensed data needs to be transferred up the base stations or the cloud. At the same time, machine learning helps in classification of captured images at edge devices, and in predicting different time-varying traffic profiles— distinguished by latency and bandwidth requirements—at base stations, including animal appearance events at sensors, and allocating bandwidth in FiWi access networks accordingly. We compare three scenarios of processing data at sensor nodes, base stations and a hybrid case of processing sensed data at either sensors or at base stations, and showed that dynamic allocation of bandwidth in FiWi access networks and processing data at its origin lead to lowering the congestion of network traffic at base stations and reducing the average end-to-end delay. Full article

Figure 1

Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: Resource Allocation in Passive Optical Network based Mobile Backhaul for User Mobility and Fog Computing
Authors: Jiajia Chen et al.
Abstract: In this paper, we investigate flexible wavelength and bandwidth scheduling algorithms in time and wavelength division multiplexing passive optical network (TWDM PON) for service migration between fog nodes in mobile backhaul, to efficiently support user’s mobility and fog computing. Network slicing technology is introduced to divide bandwidth resources in both time and spectrum domains. The proposed resource allocation algorithm is able to accelerate service migration while minimizing the impact of service migration on non-migrated services. Moreover, proper wavelength switching balances the network load among different wavelengths and hence improves resource utilization, latency and packet loss.

Title: Remotized Control of Power Electronic Devices Exploiting a Plastic Optical Fiber Photonic Bus
Authors: Vittorio Curri et al.

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