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Special Issue "Next Generation Wireless Technologies for Internet of Things"

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".

Deadline for manuscript submissions: closed (31 August 2017)

Special Issue Editors

Guest Editor
Prof. Dr. Giovanni Pau

Faculty of Engineering and Architecture - Computer Engineering and Networks Laboratory Kore University of Enna - 94100 Enna, Italy
Website | E-Mail
Interests: wireless sensor networks; green communications; home automation; power consumption; internet of things; fuzzy logic
Guest Editor
Prof. Dr. Claude Chaudet

Department of Computer Science, Webster University Geneva, 1293, Switzerland
Website | E-Mail
Phone: +41 22 959 80 19
Interests: wireless sensor networks, smart cities, smart grids, smart buildings, security, privacy, stochastic models, graph theory
Guest Editor
Prof. Dr. Dixian Zhao

¨School of Information Science and Engineering, Southeast University (SEU), 211189, China
Website | E-Mail
Phone: +86 25 52091652
Interests: millimeter-wave integrated transceivers for high-speed wireless communications and radars; RF power amplifiers; THz electronics
Guest Editor
Prof. Dr. Mario Collotta

Computer and Networks Engineering Laboratory, Kore University of Enna, Italy
Website | E-Mail
Interests: expert systems and applications; real-time networks; green communication, wireless communications; intelligent transportation system; industrial automation networks; Internet of things

Special Issue Information

Dear Colleagues,

Nowadays, the Internet is increasingly ubiquitous, allowing users to connect anytime and everywhere, not only to other people, but also to objects embedded in the physical world. The common vision of such systems is usually associated with one concept, the Internet of Things (IoT). With the advent of the IoT revolution, it is expected that there will be over 50 billion connected objects in the world by 2020 and that 40% of all world data will come from IoT devices and sensors. In this future there will be a need for radio technologies to comply to IoT device characteristics including, suitability for use in a variety of environments (outdoor vs. indoor, urban vs. rural), battery operated devices, form factors and communication ranges. Furthermore, communication protocols need to adapt to IoT service requirements for real-time and critical applications. As a consequence, there is a need for smart radio technologies and communication protocols that support low-power and ultra-low power operation, multiple communication ranges, diverse traffic ranging from telemetry to HD video streams for surveillance, in indoor and outdoor environments. It can be predicted that several wireless technologies, such as bluetooth low energy (BLE), Zigbee, 6LowPAN, Z-Wave and Wi-Fi HaLow will continue to emerge as short range and low power wireless communication technologies.

This Special Issue aims to solicit high-quality papers reporting on the latest research advances on next generation wireless technologies for IoT. These papers should focus on solving open technical problems and challenges typical of IoT, on presenting and integrating novel solutions efficiently, and on highlighting the performance evaluation with existing standards. Both theoretical and experimental studies are encouraged. Furthermore, high-quality review papers are also welcomed. Topics of interest include, but are not limited to:

  • Short and medium range radio access
  • Energy-efficient communications and management
  • New sensing and actuation capabilities of devices and their applicability
  • Wireless wearable and IoT communication architectures and systems
  • Sustainable design and solutions
  • Network architecture and system design
  • Smart bandwidth utilization
  • Integration with existing standards and protocols 

  • Testbed, prototype, and practical systems for IoT use cases
  • Millimeter-wave technologies and applications
  • Novel integrated circuit (IC) techniques for IoTs

Prof. Dr. Giovanni Pau
Prof. Dr. Claude Chaudet
Prof. Dr. Dixian Zhao
Prof. Dr. Mario Collotta
Guest Editors

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. Sensors is an international peer-reviewed open access monthly 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 1800 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.

Keywords

  • smart wireless technologies
  • internet of things (IoT)
  • energy-efficient communications
  • challenges in IoT wireless scenarios
  • IoT wireless communication architectures
  • quality of services management

Published Papers (5 papers)

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Research

Open AccessArticle Wireless Technology Recognition Based on RSSI Distribution at Sub-Nyquist Sampling Rate for Constrained Devices
Sensors 2017, 17(9), 2081; doi:10.3390/s17092081
Received: 17 July 2017 / Revised: 1 September 2017 / Accepted: 7 September 2017 / Published: 12 September 2017
PDF Full-text (4494 KB) | HTML Full-text | XML Full-text
Abstract
Driven by the fast growth of wireless communication, the trend of sharing spectrum among heterogeneous technologies becomes increasingly dominant. Identifying concurrent technologies is an important step towards efficient spectrum sharing. However, due to the complexity of recognition algorithms and the strict condition of
[...] Read more.
Driven by the fast growth of wireless communication, the trend of sharing spectrum among heterogeneous technologies becomes increasingly dominant. Identifying concurrent technologies is an important step towards efficient spectrum sharing. However, due to the complexity of recognition algorithms and the strict condition of sampling speed, communication systems capable of recognizing signals other than their own type are extremely rare. This work proves that multi-model distribution of the received signal strength indicator (RSSI) is related to the signals’ modulation schemes and medium access mechanisms, and RSSI from different technologies may exhibit highly distinctive features. A distinction is made between technologies with a streaming or a non-streaming property, and appropriate feature spaces can be established either by deriving parameters such as packet duration from RSSI or directly using RSSI’s probability distribution. An experimental study shows that even RSSI acquired at a sub-Nyquist sampling rate is able to provide sufficient features to differentiate technologies such as Wi-Fi, Long Term Evolution (LTE), Digital Video Broadcasting-Terrestrial (DVB-T) and Bluetooth. The usage of the RSSI distribution-based feature space is illustrated via a sample algorithm. Experimental evaluation indicates that more than 92% accuracy is achieved with the appropriate configuration. As the analysis of RSSI distribution is straightforward and less demanding in terms of system requirements, we believe it is highly valuable for recognition of wideband technologies on constrained devices in the context of dynamic spectrum access. Full article
(This article belongs to the Special Issue Next Generation Wireless Technologies for Internet of Things)
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Open AccessArticle Wireless Sensor Platform for Cultural Heritage Monitoring and Modeling System
Sensors 2017, 17(9), 1998; doi:10.3390/s17091998
Received: 1 August 2017 / Accepted: 24 August 2017 / Published: 31 August 2017
PDF Full-text (3318 KB) | HTML Full-text | XML Full-text
Abstract
Results from three years of continuous monitoring of environmental conditions using a wireless sensor platform installed at The Cloisters, the medieval branch of the New York Metropolitan Museum of Art, are presented. The platform comprises more than 200 sensors that were distributed in
[...] Read more.
Results from three years of continuous monitoring of environmental conditions using a wireless sensor platform installed at The Cloisters, the medieval branch of the New York Metropolitan Museum of Art, are presented. The platform comprises more than 200 sensors that were distributed in five galleries to assess temperature and air flow and to quantify microclimate changes using physics-based and statistical models. The wireless sensor network data shows a very stable environment within the galleries, while the dense monitoring enables localized monitoring of subtle changes in air quality trends and impact of visitors on the microclimate conditions. The high spatial and temporal resolution data serves as a baseline study to understand the impact of visitors and building operations on the long-term preservation of art objects. Full article
(This article belongs to the Special Issue Next Generation Wireless Technologies for Internet of Things)
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Open AccessArticle Development of a Handheld Line Information Reader and Generator for Efficient Management of Optical Communication Lines
Sensors 2017, 17(9), 1950; doi:10.3390/s17091950
Received: 16 July 2017 / Revised: 20 August 2017 / Accepted: 22 August 2017 / Published: 24 August 2017
PDF Full-text (2940 KB) | HTML Full-text | XML Full-text
Abstract
A handheld line information reader and a line information generator were developed for the efficient management of optical communication lines. The line information reader consists of a photo diode, trans-impedance amplifier, voltage amplifier, microcontroller unit, display panel, and communication modules. The line information
[...] Read more.
A handheld line information reader and a line information generator were developed for the efficient management of optical communication lines. The line information reader consists of a photo diode, trans-impedance amplifier, voltage amplifier, microcontroller unit, display panel, and communication modules. The line information generator consists of a laser diode, laser driving circuits, microcontroller unit, and communication modules. The line information reader can detect the optical radiation field of the test line by bending the optical fiber. To enhance the sensitivity of the line information reader, an additional lens was used with a focal length of 4.51 mm. Moreover, the simulation results obtained through BeamPROP® software from Synopsys, Inc. demonstrated a stronger optical radiation field of the fiber due to a longer transmission wavelength and larger bending angle of the fiber. Therefore, the developed devices can be considered as useful tools for the efficient management of optical communication lines. Full article
(This article belongs to the Special Issue Next Generation Wireless Technologies for Internet of Things)
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Open AccessArticle Electromagnetic Field Assessment as a Smart City Service: The SmartSantander Use-Case
Sensors 2017, 17(6), 1250; doi:10.3390/s17061250
Received: 3 April 2017 / Revised: 17 May 2017 / Accepted: 24 May 2017 / Published: 31 May 2017
PDF Full-text (5579 KB) | HTML Full-text | XML Full-text
Abstract
Despite the increasing presence of wireless communications in everyday life, there exist some voices raising concerns about their adverse effects. One particularly relevant example is the potential impact of the electromagnetic field they induce on the population’s health. Traditionally, very specialized methods and
[...] Read more.
Despite the increasing presence of wireless communications in everyday life, there exist some voices raising concerns about their adverse effects. One particularly relevant example is the potential impact of the electromagnetic field they induce on the population’s health. Traditionally, very specialized methods and devices (dosimetry) have been used to assess the strength of the E-field, with the main objective of checking whether it respects the corresponding regulations. In this paper, we propose a complete novel approach, which exploits the functionality leveraged by a smart city platform. We deploy a number of measuring probes, integrated as sensing devices, to carry out a characterization embracing large areas, as well as long periods of time. This unique platform has been active for more than one year, generating a vast amount of information. We process such information, and the obtained results validate the whole methodology. In addition, we discuss the variation of the E-field caused by cellular networks, considering additional information, such as usage statistics. Finally, we establish the exposure that can be attributed to the base stations within the scenario under analysis. Full article
(This article belongs to the Special Issue Next Generation Wireless Technologies for Internet of Things)
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Open AccessArticle Dynamic Involvement of Real World Objects in the IoT: A Consensus-Based Cooperation Approach
Sensors 2017, 17(3), 484; doi:10.3390/s17030484
Received: 16 November 2016 / Revised: 15 February 2017 / Accepted: 22 February 2017 / Published: 1 March 2017
Cited by 2 | PDF Full-text (524 KB) | HTML Full-text | XML Full-text
Abstract
A significant role in the Internet of Things (IoT) will be taken by mobile and low-cost unstable devices, which autonomously self-organize and introduce highly dynamic and heterogeneous scenarios for the deployment of distributed applications. This entails the devices to cooperate to dynamically find
[...] Read more.
A significant role in the Internet of Things (IoT) will be taken by mobile and low-cost unstable devices, which autonomously self-organize and introduce highly dynamic and heterogeneous scenarios for the deployment of distributed applications. This entails the devices to cooperate to dynamically find the suitable combination of their involvement so as to improve the system reliability while following the changes in their status. Focusing on the above scenario, we propose a distributed algorithm for resources allocation that is run by devices that can perform the same task required by the applications, allowing for a flexible and dynamic binding of the requested services with the physical IoT devices. It is based on a consensus approach, which maximizes the lifetime of groups of nodes involved and ensures the fulfillment of the requested Quality of Information (QoI) requirements. Experiments have been conducted with real devices, showing an improvement of device lifetime of more than 20 % , with respect to a uniform distribution of tasks. Full article
(This article belongs to the Special Issue Next Generation Wireless Technologies for Internet of Things)
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