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Recent Trends and Advances in Wireless Sensor Networks

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

Deadline for manuscript submissions: closed (20 February 2024) | Viewed by 6229

Special Issue Editors


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Guest Editor
ITI and Departamento de Informática de Sistemas y Computadores (DISCA), Campus de Alcoy, Universitat Politècnica de València (UPV), Valencia, Spain
Interests: wireless networks; wireless sensor networks; software-defined networks; edge computing; multimedia processing and communication; automation

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Guest Editor
i2CAT Foundation, 08034 Barcelona, Spain
Interests: SDN; network slicing; 6TiSCH; industrial IoT; community networks; management and orchestration; 5G

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Guest Editor
LIMOS, UMR 6158 CNRS, University Clermont Auvergne, 63173 Aubière, CEDEX, France
Interests: wireless sensor network; WSN; internet of things and web of things; iot and wot

Special Issue Information

Dear Colleagues,

WSNs have revolutionized different areas of economy and daily life, being one of the enabling technologies of IoT (Internet of Things) and IIoT (Industrial Internet of Things) systems. This has been the case in areas such as environmental monitoring, the development of smart buildings and smart cities, automation in Industry 4.0, agriculture, etc. In turn, this technology involves different fundamental fields for its development and application, such as signal processing, embedded systems, networking and protocols, information management, programmable control, energy optimization, and distributed algorithms.

However, the potential of this technology and its success make the requirements of new applications increasingly challenging. Improvements in bandwidth, latency, reliability, and security are essential to meet these new requirements.

This Special Issue calls for high-quality, original, up-to-date research papers related to wireless sensor and actuator networks. Papers describing scientific methods and technologies that improve efficiency, productivity, quality, scalability, mobility, reliability, control, and energy in all areas of WSNs and WSANs are welcome. Submissions of scientific results from experts in both academia and industry worldwide are strongly encouraged. All submitted papers will be peer-reviewed and selected based on both their quality and their relevance to this Special Issue. Contributions may include, but are not limited to:

  • Modeling and analysis
  • Routing
  • Simulation
  • Energy
  • Applications and implementations
  • Mobility
  • Programmability
  • Scheduling
  • End-to-end control
  • Time sensitive networking
  • Testbed experimentation
  • Industrial and social use cases
  • Ultra-high reliability
  • AI/ML-assisted algorithms for enhanced networking
  • WSN bootstraping

Dr. Javier Silvestre-Blanes
Dr. Esteban Municio
Dr. Kunmean Hou
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 submissions that pass pre-check are 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 2600 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

  • wireless sensor networks
  • wireless sensor/actuator networks
  • Industrial Internet of Things (IIOT) and their evolution to IIoE (Industrial Internet of Everything)
  • energy efficiency and transfer
  • routing using machine learning (ML) techniques and protocols
  • WSAN and edge computing
  • device heterogeneity
  • self-organizing WSANs (SOWSANs) and self-sustaining WSANs (SSWSANs)
  • scalability to support a large number of spread devices
  • WSN and big data analytics
  • Internet of nano-Things

Published Papers (2 papers)

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Research

25 pages, 7659 KiB  
Article
Trends and Challenges in AIoT/IIoT/IoT Implementation
by Kun Mean Hou, Xunxing Diao, Hongling Shi, Hao Ding, Haiying Zhou and Christophe de Vaulx
Sensors 2023, 23(11), 5074; https://doi.org/10.3390/s23115074 - 25 May 2023
Cited by 7 | Viewed by 4144
Abstract
For the next coming years, metaverse, digital twin and autonomous vehicle applications are the leading technologies for many complex applications hitherto inaccessible such as health and life sciences, smart home, smart agriculture, smart city, smart car and logistics, Industry 4.0, entertainment (video game) [...] Read more.
For the next coming years, metaverse, digital twin and autonomous vehicle applications are the leading technologies for many complex applications hitherto inaccessible such as health and life sciences, smart home, smart agriculture, smart city, smart car and logistics, Industry 4.0, entertainment (video game) and social media applications, due to recent tremendous developments in process modeling, supercomputing, cloud data analytics (deep learning, etc.), communication network and AIoT/IIoT/IoT technologies. AIoT/IIoT/IoT is a crucial research field because it provides the essential data to fuel metaverse, digital twin, real-time Industry 4.0 and autonomous vehicle applications. However, the science of AIoT is inherently multidisciplinary, and therefore, it is difficult for readers to understand its evolution and impacts. Our main contribution in this article is to analyze and highlight the trends and challenges of the AIoT technology ecosystem including core hardware (MCU, MEMS/NEMS sensors and wireless access medium), core software (operating system and protocol communication stack) and middleware (deep learning on a microcontroller: TinyML). Two low-powered AI technologies emerge: TinyML and neuromorphic computing, but only one AIoT/IIoT/IoT device implementation using TinyML dedicated to strawberry disease detection as a case study. So far, despite the very rapid progress of AIoT/IIoT/IoT technologies, several challenges remain to be overcome such as safety, security, latency, interoperability and reliability of sensor data, which are essential characteristics to meet the requirements of metaverse, digital twin, autonomous vehicle and Industry 4.0. applications. Full article
(This article belongs to the Special Issue Recent Trends and Advances in Wireless Sensor Networks)
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26 pages, 4321 KiB  
Article
A Hybrid Trust Model against Insider Packet Drop Attacks in Wireless Sensor Networks
by Youngho Cho and Gang Qu
Sensors 2023, 23(9), 4407; https://doi.org/10.3390/s23094407 - 30 Apr 2023
Cited by 1 | Viewed by 1244
Abstract
Quick and accurate detection of inside packet drop attackers is of critical importance to reduce the damage they can have on the network. Trust mechanisms have been widely used in wireless sensor networks for this purpose. However, existing trust models are not effective [...] Read more.
Quick and accurate detection of inside packet drop attackers is of critical importance to reduce the damage they can have on the network. Trust mechanisms have been widely used in wireless sensor networks for this purpose. However, existing trust models are not effective because they cannot distinguish between packet drops caused by an attack and those caused by normal network failure. We observe that insider packet drop attacks will cause more consecutive packet drops than a network abnormality. Therefore, we propose the use of consecutive packet drops to speed up the detection of inside packet drop attackers. In this article, we describe a new trust model based on consecutive drops and develop a hybrid trust mechanism to seamlessly integrate the new trust model with existing trust models. We perform extensive OPNET (Optimized Network Engineering Tool) simulations using a geographic greedy routing protocol to validate the effectiveness of our new model. The simulation results show that our hybrid trust model outperforms existing trust models for all types of inside packet drop attacks, not only in terms of detection speed and accuracy as it is designed for, but also in terms of other important network performance metrics, such as packet delivery rate, routing reliability, and energy efficiency. Full article
(This article belongs to the Special Issue Recent Trends and Advances in Wireless Sensor Networks)
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