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Special Issue "Communications and Computing in Sensor Network"

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

Deadline for manuscript submissions: 30 April 2020.

Special Issue Editor

Prof. Dr. Gianluca Reali
E-Mail Website
Guest Editor
Networks and Services Lab, Department of Engineering,University of Perugia, 06123 Perugia, Italy
Interests: networking; IoT; molecular communications; orchestration of virtual networks; cloud computing

Special Issue Information

 Dear Colleagues,

Sensor networks are changing the way people interact and integrate with advanced technologies. While up to a decade ago, sensor networks were essentially considered in the field of industrial applications and video surveillance, exploiting the classic wired and radio transmission technologies, the currently available technologies make it possible to extend their application to different areas, such as health, games, wellness, agriculture, advanced robotics, and the management of human activities in all their aspects. This scenario is often referred to as the Internet of Things, but this name may refer to extremely different scenarios in terms of scale, bandwidth, applications, technological level, social impact, transmission techniques and energy efficiency. However, these scenarios have in common the fact that the information exchanged is captured by sensors and made available through appropriate computing techniques, communication protocols, and ICT technologies. This Special Issue aims to collect valuable contributions in order to create a comprehensive picture of the current state of processing and communication techniques in the existing socioeconomic sectors. Therefore, what follows is an illustrative list of possible contributions. The Special Issue may also include different themes and technologies related to communications and computing in sensor networks:

- Protocols for sensor networks;
- Artificial intelligence in sensor networks;
- Communications in biological sensor networks, and different application scales;
- Data management and distribution in sensor networks;
- Distributed operating systems for sensor networks;
- Autoconfiguration of sensor networks;
- Sensor networks and the Internet;
- Orchestration of communication services in sensor networks;
- Innovative technologies in sensor networks;
- Intelligent use of the electromagnetic spectrum in sensor networks;
- New virtualization technologies and abstraction models in sensor networks;
- Performance models for communications and computing in sensor networks;
- Data management in sensor networks;
- Microsensor networks;
- Biological sensor networks and related applications;
- Interworking of sensor networks;
- Transmission technologies for sensor networks.

Prof. Dr. Gianluca Reali
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. Sensors is an international peer-reviewed open access semimonthly 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 2000 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

  • sensor networks
  • transmission technologies
  • protocols
  • IoT
  • Artificial Intelligence
  • Big Data
  • orchestration
  • applications

Published Papers (3 papers)

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Research

Open AccessArticle
Message-Based Communication for Heterogeneous Internet of Things Systems
Sensors 2020, 20(3), 861; https://doi.org/10.3390/s20030861 - 06 Feb 2020
Abstract
The Internet of Things (IoT) domain presents a wide spectrum of technologies for building IoT applications. The requirements are varying from one application to another granting uniqueness to each IoT system. Each application demands custom implementations to achieve efficient, secure and cost-effective environments. [...] Read more.
The Internet of Things (IoT) domain presents a wide spectrum of technologies for building IoT applications. The requirements are varying from one application to another granting uniqueness to each IoT system. Each application demands custom implementations to achieve efficient, secure and cost-effective environments. They pose a set of properties that cannot be addressed by a single-based protocol IoT network. Such properties are achievable by designing a heterogeneous IoT system, which integrates diverse IoT protocols and provides a network management solution to efficiently manage the system components. This paper proposes an IoT message-based communication model applied atop the IoT protocols in order to achieve functional scalability and network management transparency agnostic to the employed communication protocol. The paper evaluates the proposed communication model and proves its functional scalability in a heterogeneous IoT system. The experimental assessment compares the payload size of the proposed system with respect to the LwM2M standard, a protocol designed specifically for IoT applications. In addition, the paper discusses the energy consumption introduced by the proposed model as well as the options available to reduce such impact. Full article
(This article belongs to the Special Issue Communications and Computing in Sensor Network)
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Open AccessArticle
Performance Analysis of Cooperative NOMA Networks with Imperfect CSI over Nakagami-m Fading Channels
Sensors 2020, 20(2), 424; https://doi.org/10.3390/s20020424 - 11 Jan 2020
Abstract
In this paper, we investigate a downlink cooperative non-orthogonal multiple access (NOMA) network with decode-and-forward relaying, where two scenarios of user relaying with direct link and user relaying without direct link are discussed in detail. More particularly, the performance of cooperative NOMA system [...] Read more.
In this paper, we investigate a downlink cooperative non-orthogonal multiple access (NOMA) network with decode-and-forward relaying, where two scenarios of user relaying with direct link and user relaying without direct link are discussed in detail. More particularly, the performance of cooperative NOMA system under the assumption of imperfect channel state information (ipCSI) is studied over Nakagami-m fading channels. To evaluate the outage performance of the above discussed two scenarios, the closed-form expressions of outage probability for a pair of users are derived carefully. The diversity orders of users are achieved in the high signal-to-noise region. An error floor appears in the outage probability owing to the existence of channel estimation errors under ipCSI conditions. Simulation results verify the validity of our analysis and show that: (1) NOMA is superior to conventional orthogonal multiple access; (2) The best user relaying location for cooperative NOMA networks should be near to the base station; and (3) The outage performance of distant user with direct link significantly outperforms distant user without direct link by comparing the two scenarios. Full article
(This article belongs to the Special Issue Communications and Computing in Sensor Network)
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Open AccessArticle
Non-Fragile Robust H∞ Filtering of Takagi-Sugeno Fuzzy Networked Control Systems with Sensor Failures
Sensors 2020, 20(1), 27; https://doi.org/10.3390/s20010027 - 19 Dec 2019
Abstract
The fault-tolerant robust non-fragile H∞ filtering problem for networked control systems with sensor failures is studied in this paper. The Takagi-Sugeno fuzzy model which can appropriate any nonlinear systems is employed. Based on the model, a filter which can maintain stability and [...] Read more.
The fault-tolerant robust non-fragile H∞ filtering problem for networked control systems with sensor failures is studied in this paper. The Takagi-Sugeno fuzzy model which can appropriate any nonlinear systems is employed. Based on the model, a filter which can maintain stability and H∞ performance level under the influence of gain perturbation of the filter and sensor failures is designed. Moreover, the gain matrix of sensor failures is converted into a dynamic interval to expand the range of allowed failures. And the sufficient condition for the existence of the desired filter is derived in terms of linear matrix inequalities (LMIs) solutions. Finally a simulation example is given to illustrate the effectiveness of the proposed method. Full article
(This article belongs to the Special Issue Communications and Computing in Sensor Network)
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