Special Issue "Journal of Sensor and Actuator Networks: 10th Year Anniversary"

A special issue of Journal of Sensor and Actuator Networks (ISSN 2224-2708).

Deadline for manuscript submissions: 31 December 2021.

Special Issue Editors

Prof. Dr. Lei Shu
E-Mail Website
Guest Editor
1. College of Artificial Intelligence, Nanjing Agricultural University, Nanjing, China
2. School of Engineering, College of Science, University of Lincoln, Lincoln LN6 7TS, UK
Interests: Internet of Things; sensor networks; green computing; cloud and fog computing; fault diagnosis; wireless sensor networks; multimedia communication; middleware; security
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Prof. Dr. Stefan Fischer
E-Mail Website
Guest Editor
Director of Institute of Telematics, University of Luebeck, 23562 Lübeck, Germany
Interests: computer networks; distributed systems; AI in networks; Internet of Things; nanonetworks
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Prof. Dr. Adnan Al-Anbuky
E-Mail Website1 Website2
Guest Editor
School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand
Interests: wireless sensor-actuator networks; smart cyber-physical systems; software-defined sensor networks; sensor network virtualization; structured and nonstructured mobility and objects grouping; movement monitoring and precision health
Special Issues and Collections in MDPI journals
Prof. Dr. Mário Alves
E-Mail Website
Guest Editor
Politécnico do Porto, School of Engineering (ISEP/IPP), Rua Dr. António Bernardino de Almeida, 431, 4249-015 Porto, Portugal
Interests: QoS (reliability, timeliness, mobility) in low-power wireless networks; sensor/actuator networks; cyber-physical systems
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

Since its inception ten years ago, JSAN, the Journal of Sensor and Actuator Networks, has become a fixture among the current scientific journals. The topics covered by JSAN, sensor and actuator networks, are now more relevant than ever. Networked sensors and actuators form the backbone of the Internet of Things and many applications are based on them, such as smart cities, smart environment and Industry 4.0. As important data providers, they will become much more significant in the emerging AI ecosystems.

We want to celebrate ten years of JSAN with this Special Issue. On the one hand, we want to look ahead, and therefore invite submissions of original papers. On the other hand, it is also worth looking back: which technologies have particularly influenced the field, and which form the basis of many applications today? For this purpose, we also invite submissions of review articles. Thematically, all submissions within the scope of the journal are welcome, e.g., system architecture, operating systems, and network hardware for sensor/actuator networks, smart and intelligent sensing and actuation, protocols and middleware for sensor/actuator networks, modelling simulation and virtualization tools, experimental facilities and test beds, reliability, trust, security, and privacy, software-defined WSAN systems and infrastructure.

Prof. Dr. Lei Shu
Prof. Dr. Stefan Fischer
Prof. Dr. Joel J. P. C. Rodrigues
Prof. Dr. Adnan Al-Anbuky
Prof. Dr. Mário Alves
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. 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 1600 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.

Published Papers (3 papers)

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Research

Article
Distributed Algorithms for Multiple Path Backbone Discovery in Thick Linear Sensor Networks
J. Sens. Actuator Netw. 2021, 10(3), 49; https://doi.org/10.3390/jsan10030049 - 16 Jul 2021
Viewed by 388
Abstract
Continued advancements in microprocessors, electronics, and communication technology have led to the design and development of sensing devices with increased functionalities, smaller sizes, larger processing, storage, and communication capabilities, and decreased cost. A large number of these sensor nodes are used in many [...] Read more.
Continued advancements in microprocessors, electronics, and communication technology have led to the design and development of sensing devices with increased functionalities, smaller sizes, larger processing, storage, and communication capabilities, and decreased cost. A large number of these sensor nodes are used in many environmental, infrastructure, commercial, and military monitoring applications. Due to the linearity of a good number of the monitored structures such as oil, gas, and water pipelines, borders, rivers, and roads, the wireless sensor networks (WSNs) that are used to monitor them have a linear topology. This type of WSN is called a linear sensor network (LSN). In this paper, two distributed algorithms for topology discovery in thick LSNs are presented: the linear backbone discovery algorithm (LBD) and the linear backbone discovery algorithm with x backbone paths (LBDx). Both of them try to construct a linear backbone for efficient routing in LSNs. However, the LBD algorithm has the objective of minimizing the number of messages used during the backbone discovery process. On the other hand, the LBDx algorithm focuses on reducing the number of hops of the data messages transmitted from the nodes to the sink. LBD and LBDx exhibit good properties and efficient performance, which are confirmed by extensive simulations. Full article
(This article belongs to the Special Issue Journal of Sensor and Actuator Networks: 10th Year Anniversary)
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Article
Visible Light Communications through Diffusive Illumination of Sculptures in a Real Museum
J. Sens. Actuator Netw. 2021, 10(3), 45; https://doi.org/10.3390/jsan10030045 - 07 Jul 2021
Viewed by 485
Abstract
The recent, massive diffusion of LED-based illumination devices makes Visible Light Communications (VLC) a widely recognised wireless communication technology with large potential impact in many indoor and outdoor applications. In the indoor scenario, one of the most promising VLC implementations is foreseen in [...] Read more.
The recent, massive diffusion of LED-based illumination devices makes Visible Light Communications (VLC) a widely recognised wireless communication technology with large potential impact in many indoor and outdoor applications. In the indoor scenario, one of the most promising VLC implementations is foreseen in museums, exhibitions and cultural heritage sites. In this context, digital data can be transmitted by the specific lighting system of each artwork and received by the nearby standing visitors, allowing a complete set of dedicated services such as augmented reality (AR) and real-time indoor positioning, exploiting the directionality of the optical channel. In this work, we achieve, for the first time, VLC transmission through diffusive LED illumination of three-dimensional artworks (wooden and marble sculptures) in a real museum, exploiting the available LED illumination system, demonstrating the feasibility of VLC technology also when complex three-dimensional artworks, such as sculptures or bas-reliefs, are involved. In our experimental campaign, performed inside the Basilica of Santa Maria Novella in Florence, we perform extensive Packet Error Rate (PER) and Signal-to-Noise Ratio (SNR) tests on two important wooden and marble sculptures (Crucifix by Brunelleschi and the Holy Water Font by Bordoni, respectively), for different distances, view angles and configurations, in order to mimic a wide set of situations that visitors may encounter in a realistic scenario. We achieve successful VLC transmission for distances up to 8 m from artworks, at baud rate of 28 kBaud. We also provide detailed results on the characterization of the transmission Field of View (FoV) for our prototype, as well as the effect of side shifts of the observer’s position on the quality of VLC transmission, providing essential information for future implementations of positioning protocols and dedicated services in realistic, indoor scenarios. Our work represents an important step forward towards the deployment of VLC technology in museums and, more in general, it opens for far-reaching developments in a wide set of real indoor environments, including the cultural heritage sector, where diffusive VLC links exploiting illumination of three-dimensional objects could represent a ground-breaking innovation. Full article
(This article belongs to the Special Issue Journal of Sensor and Actuator Networks: 10th Year Anniversary)
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Article
Design, Analysis, and Experimental Evaluation of a New Secure Rejoin Mechanism for LoRaWAN Using Elliptic-Curve Cryptography
J. Sens. Actuator Netw. 2021, 10(2), 36; https://doi.org/10.3390/jsan10020036 - 18 Jun 2021
Viewed by 387
Abstract
LoRaWAN (Long Range Wide Area Network) is a Low-Power Wide Area Networks (LPWAN) technology with very rapid uptake during the previous years, developed by the LoRa (Long Range) Alliance as an open standard operating over the unlicensed band. Current LoRaWAN architecture foresees specific [...] Read more.
LoRaWAN (Long Range Wide Area Network) is a Low-Power Wide Area Networks (LPWAN) technology with very rapid uptake during the previous years, developed by the LoRa (Long Range) Alliance as an open standard operating over the unlicensed band. Current LoRaWAN architecture foresees specific techniques for bootstrapping end-to-end encryption during network initialization. In particular, this work focuses on the Over-The-Air Activation (OTAA) method, which uses two keys (Network key (NwkKey) and Application key (AppKey)) that are hard-coded into the device and do not change throughout the entire lifetime of the deployment. The inability to refresh these two keys is as a weak point in terms of the overall security of the network especially when considering deployments that are expected to operate for at least 10–15 years. In this paper, the security issues of OTAA are presented in detail highlighting the vulnerabilities against the specific type of attacks. A new scheme for network activation is proposed that builds upon the current LoRaWAN architecture in a way that maintains backwards compatibility while resolving certain vulnerabilities. Under the new mechanism, the devices periodically negotiate new keys securely based on elliptic-curve cryptography. The security properties of the proposed mechanism are analyzed against a specific type of attacks. The analysis indicates that the new secure rejoin mechanism guarantees (i) computational key secrecy, (ii) decisional key secrecy, and (iii) key independence, forward and backward, for both root keys thus properly addressing the considered security vulnerabilities of LoRaWAN. Moreover, the method is implemented in software using the RIOT-OS, a hardware-independent operating system that supports many different architectures for 8 bit, 16 bit, 32 bit and 64 bit processors. The resulting software is evaluated on the FIT IoT-Lab real-world experimentation facility under a diverse set of ARM Cortex-M* devices targeting a broad range of IoT applications, ranging from advanced wearable devices to interactive entertainment devices, home automation and industrial cyber-physical systems. The experiments indicate that the overall overhead incurred in terms of energy and time by the proposed rejoin mechanism is acceptable given the low frequency of execution and the improvements to the overall security of the LoRaWAN1.1 OTAA method. Full article
(This article belongs to the Special Issue Journal of Sensor and Actuator Networks: 10th Year Anniversary)
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