Special Issue "Ubiquitous Sensor Networks "

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: 20 April 2021.

Special Issue Editors

Prof. Dr. Agustín Zaballos
Website
Guest Editor
GRITS—Research Group in Internet Technologies and Storage, La Salle-Ramon Llull University, Barcelona 08022, Spain
Interests: real-time QoS-aware routing protocols in Smart Grids; ubiquitous sensor networks and IoT communications
Dr. Joan Navarro
Website
Guest Editor
GRITS—Research Group in Internet Technologies and Storage, La Salle-Ramon Llull University, Barcelona 08022, Spain
Interests: cloud computing; big data; concurrency control in large-scale distributed systems and replication policies in cloud-based databases

Special Issue Information

Dear Colleagues,

The advent of low-cost devices committed to easily sensing multiple environment variables—and actuate over them—has recently boosted the interest and feasibility for researchers in conceiving ubiquitous sensor networks (USNs). Modern improvements in communications for heterogeneous networks, such as next-generation networks, have facilitated the adoption of USNs in several domains (e.g., engineering, education, healthcare, agriculture and environmental monitoring). New middleware architectures for USNs take advantage of the latest advances in fog, edge, and cloud computing to address the scalability, storage, computing, and integration challenges typically found in these distributed architectures. Furthermore, large efforts are being made to come up with new communication protocols and strategies to make USNs a reality in electromagnetically harsh environments.

This Special Issue seeks high-quality contributions that address latent challenges in USNs and contribute to advance on the state-of-the-art in this field. Survey and research papers detailing theoretical and experimental developments are welcome. The topics of interest include, but are not limited to the following:

  • Middleware for ubiquitous sensing and computing;
  • Robust communication protocols for electromagnetically harsh environments;
  • Lightweight distributed architectures for sensing and acting;
  • Methods for assessing and improving the performance of USNs;
  • Data management and analytics in ubiquitous computing;
  • Emerging applications of USNs;
  • Solutions to cybersecurity issues in USNs;
  • Low-power consumption electronics to enable USNs.

Prof. Dr. Agustín Zaballos
Dr. Joan Navarro
Guest Editors

Manuscript Submission Information

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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. Electronics 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 1500 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

  • ubiquitous sensor networks
  • distributed storage and computing systems
  • wireless sensor networks
  • ubiquitous computing
  • communication protocols

Published Papers (5 papers)

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Research

Open AccessArticle
Intra-Network Interference Robustness: An Empirical Evaluation of IEEE 802.15.4-2015 SUN-OFDM
Electronics 2020, 9(10), 1691; https://doi.org/10.3390/electronics9101691 - 15 Oct 2020
Abstract
While IEEE 802.15.4 and its Time Slotted Channel Hopping (TSCH) medium access mode were developed as a wireless substitute for reliable process monitoring in industrial environments, most deployments use a single/static physical layer (PHY) configuration. Instead of limiting all links to the throughput [...] Read more.
While IEEE 802.15.4 and its Time Slotted Channel Hopping (TSCH) medium access mode were developed as a wireless substitute for reliable process monitoring in industrial environments, most deployments use a single/static physical layer (PHY) configuration. Instead of limiting all links to the throughput and reliability of a single Modulation and Coding Scheme (MCS), you can dynamically re-configure the PHY of link endpoints according to the context. However, such modulation diversity causes links to coincide in time/frequency space, resulting in poor reliability if left unchecked. Nonetheless, to some level, intentional spatial overlap improves resource efficiency while partially preserving the benefits of modulation diversity. Hence, we measured the mutual interference robustness of certain Smart Utility Network (SUN) Orthogonal Frequency Division Multiplexing (OFDM) configurations, as a first step towards combining spatial re-use and modulation diversity. This paper discusses the packet reception performance of those PHY configurations in terms of Signal to Interference Ratio (SIR) and time-overlap percentage between interference and targeted parts of useful transmissions. In summary, we found SUN-OFDM O3 MCS1 and O4 MCS2 performed best. Consequently, one should consider them when developing TSCH scheduling mechanisms in the search for resource efficient ubiquitous connectivity through modulation diversity and spatial re-use. Full article
(This article belongs to the Special Issue Ubiquitous Sensor Networks )
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Open AccessArticle
Sensing-HH: A Deep Hybrid Attention Model for Footwear Recognition
Electronics 2020, 9(9), 1552; https://doi.org/10.3390/electronics9091552 - 22 Sep 2020
Abstract
The human gait pattern is an emerging biometric trait for user identification of smart devices. However, one of the challenges in this biometric domain is the gait pattern change caused by footwear, especially if the users are wearing high heels (HH). Wearing HH [...] Read more.
The human gait pattern is an emerging biometric trait for user identification of smart devices. However, one of the challenges in this biometric domain is the gait pattern change caused by footwear, especially if the users are wearing high heels (HH). Wearing HH puts extra stress and pressure on various parts of the human body and it alters the wearer’s common gait pattern, which may cause difficulties in gait recognition. In this paper, we propose the Sensing-HH, a deep hybrid attention model for recognizing the subject’s shoes, flat or different types of HH, using smartphone’s motion sensors. In this model, two streams of convolutional and bidirectional long short-term memory (LSTM) networks are designed as the backbone, which extract the hierarchical spatial and temporal representations of accelerometer and gyroscope individually. We also introduce a spatio attention mechanism into the stacked convolutional layers to scan the crucial structure of the data. This mechanism enables the hybrid neural networks to capture extra information from the signal and thus it is able to significantly improve the discriminative power of the classifier for the footwear recognition task. To evaluate Sensing-HH, we built a dataset with 35 young females, each of whom walked for 4 min wearing shoes with varied heights of the heels. We conducted extensive experiments and the results demonstrated that the Sensing-HH outperformed the baseline models on leave-one-subject-out cross-validation (LOSO-CV). The Sensing-HH achieved the best Fm score, which was 0.827 when the smartphone was attached to the waist. This outperformed all the baseline methods at least by more than 14%. Meanwhile, the F1 Score of the Ultra HH was as high as 0.91. The results suggest the proposed model has made the footwear recognition more efficient and automated. We hope the findings from this study paves the way for a more sophisticated application using data from motion sensors, as well as lead to a path to a more robust biometric system based on gait pattern. Full article
(This article belongs to the Special Issue Ubiquitous Sensor Networks )
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Open AccessArticle
High-Performance Long Range-Based Medium Access Control Layer Protocol
Electronics 2020, 9(8), 1273; https://doi.org/10.3390/electronics9081273 - 07 Aug 2020
Abstract
Long Range (LoRa) has become one of the most promising physical layer technologies for the Internet of Things (IoT) ecosystem. Although it manifests low-power consumption and long-distance communication, LoRa encounters a large number of collisions in the IoT environment, which severely affects the [...] Read more.
Long Range (LoRa) has become one of the most promising physical layer technologies for the Internet of Things (IoT) ecosystem. Although it manifests low-power consumption and long-distance communication, LoRa encounters a large number of collisions in the IoT environment, which severely affects the system’s throughput and delay performance. In this paper, a code division carrier sense multiple access (CD/CSMA) protocol that resolves the traditional channel collision problem and implements multi-channel transmission is proposed for the LoRa medium access control (MAC) layer. To reduce data transmission delay and maximize the throughput of the system, the adaptive p-persistent CSMA protocol divides the channel load into four states and dynamically adjusts the data transmission probability. Then, to reduce channel collisions significantly, the code division multiple access (CDMA) protocol is performed on different channel states. Moreover, the combination of the proposed adaptive p-persistent CSMA protocol and the CDMA successfully reduces the number of data retransmissions and makes LoRa more stable. The simulation results demonstrate that the proposed adaptive p-persistent CD/CSMA protocol can achieve near-optimal and occasionally even better performance than some conventional MAC protocols, especially in a heavy load channel. Full article
(This article belongs to the Special Issue Ubiquitous Sensor Networks )
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Open AccessArticle
Study of NVIS Channel for USN Protocol Definition in Antarctica
Electronics 2020, 9(6), 1037; https://doi.org/10.3390/electronics9061037 - 23 Jun 2020
Abstract
Every year, the number of ubiquitous sensor networks (USN) is increasing and the need for remote USN communications is emerging in some scenarios. As an alternative to satellite communications, more interests are focused on high frequencies (HF) communications as a low-cost option to [...] Read more.
Every year, the number of ubiquitous sensor networks (USN) is increasing and the need for remote USN communications is emerging in some scenarios. As an alternative to satellite communications, more interests are focused on high frequencies (HF) communications as a low-cost option to reach links of more than 250 km without a line of sight. The HF standards are designed for generic communication channels being not robust for near vertical incidence skywave (NVIS) USN. In this article, we propose a new protocol for USN in remote places based on NVIS communications. For that purpose, we study the main characteristics of the NVIS channel with the presence of groundwaves, particularly in Antarctica. We analyze the availability of the channel, the height of the layers, the delay spread, and the Doppler spread. On the basis of the results obtained, we propose two protocols based on an OFDM (orthogonal frequency division multiplexing) modulation depending on the presence of the groundwave at the receiver. Finally, we make a simulation of the two OFDM configurations and we compare it with real tested standard modulations. The results show a better performance of the new protocol compared to the current HF standards. Full article
(This article belongs to the Special Issue Ubiquitous Sensor Networks )
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Open AccessArticle
A New Intra-Cluster Scheduling Scheme for Real-Time Flows in Wireless Sensor Networks
Electronics 2020, 9(4), 683; https://doi.org/10.3390/electronics9040683 - 23 Apr 2020
Abstract
Real-time flows using time division multiple access (TDMA) scheduling in cluster-based wireless sensor networks try to schedule more flows per time frame to minimize the schedule length to meet the deadline. The problem with the previously used cluster-based scheduling algorithm is that intra-cluster [...] Read more.
Real-time flows using time division multiple access (TDMA) scheduling in cluster-based wireless sensor networks try to schedule more flows per time frame to minimize the schedule length to meet the deadline. The problem with the previously used cluster-based scheduling algorithm is that intra-cluster scheduling does not consider that the clusters may have internal or outgoing flows. Thus, intra-cluster scheduling algorithms do not utilize their empty time-slots and thus increase schedule length. In this paper, we propose a new intra-cluster scheduling algorithm by considering that clusters may have having internal or outgoing flows. Thus, intra-cluster scheduling algorithms do not differentiate the intra-cluster time slots and utilize their empty time slots. The objective is to schedule more flows per time frame, to reduce schedule length and improve the acceptance rate of flows. Simulation results show that the acceptance rate of the proposed scheme has a higher performance than the previous scheme. Full article
(This article belongs to the Special Issue Ubiquitous Sensor Networks )
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