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Intelligent Technologies and Applications of Wireless Sensor Networks

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

Deadline for manuscript submissions: 10 February 2025 | Viewed by 2082

Special Issue Editors


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1. LABSTICC UMR CNRS 6285, ENSTA-Bretagne, 29806 Brest, France
2. ICCS-Lab, Computer Science Department, AUCE, Beirut 1100, Lebanon
Interests: intelligent reflecting surface; cognitive radio; IoT; WSNE-Health
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
College of Engineering, Abu Dhabi University, Abu Dhabi, United Arab Emirates
Interests: bioimaging; image/video processing; smart systems; machine learning; sensors
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
ENSTA Bretagne, Brest, France
Interests: blind separation of sources; high-order statistics; signal processing; cognitive radio; robotics and telecommunication
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
ESAIP Engineer School, Saint-Barthélemy d’Anjou, France
Interests: cloud computing; mobile computing; computer networks; wireless networks

Special Issue Information

Dear Colleagues,

The field of wireless sensor networks (WSNs) is rapidly expanding with the incorporation of intelligent technologies. This integration combines wireless communication, sensor technology, and intelligent algorithms to create innovative solutions across various domains. Intelligent technologies are instrumental in enhancing the capabilities and effectiveness of WSNs. Through intelligent algorithms and advanced data processing, WSNs can perform tasks such as data fusion, data mining, machine learning, and distributed decision-making.

WSNs have transformed the process of collecting and utilizing data from the physical environment. The introduction of intelligent technologies has further elevated the power of WSNs, enabling real-time applications and addressing complex challenges. This Special Issue seeks to explore the latest research and applications of intelligent technologies in WSNs, with a specific focus on their integration, development, resource allocation, and real-time capabilities. However, contributions discussing the intelligent integration of WSNs in other areas are also welcomed. The topics to be covered in this Special Issue include, but are not limited to, the following:

  • Machine learning and deep learning techniques for WSNs;
  • Intelligent data fusion and decision-making in WSNs;
  • Intelligent routing and communication protocols;
  • Adaptive and self-configuring WSNs;
  • Energy-efficient software protocols and algorithms for WSNs;
  • Intelligent dynamic spectrum access techniques for WSNs;
  • Intelligent software solutions for WSN deployment, monitoring, and management;
  • Intelligent hardware and electronic solutions for WSNs;
  • Low-power electronics and circuit design for WSNs;
  • Security and privacy considerations in intelligent WSNs;
  • Energy harvesting in WSNs;
  • Intelligent scheduling algorithms in WSNs;
  • Blockchain and distributed ledger protocols for WSNs;
  • Cross-layer design and interactions;
  • Multicast and anycast routing in WSNs;
  • Modelling and verification of WSNs;
  • Intelligent Application and use-cases of Internet of Things and WSN;
  • Intelligent Management of heterogeneous WSNs;
  • Computer Vision systems for WSN;
  • Smart farming using IoT and WSN.

We encourage researchers and practitioners to submit original research articles, reviews, and case studies that contribute to the intelligent integration of WSNs. Manuscripts should adhere to the guidelines provided by the MDPI Sensors journal.

By compiling diverse perspectives and advancements in intelligent technologies applied to WSNs, this Special Issue will foster innovation and drive the development of efficient, real-time WSN solutions. The published research will contribute to addressing critical challenges in various domains and pave the way for future advancements in intelligent WSN applications

Dr. Abbass Nasser
Prof. Dr. Mohammed Ghazal
Prof. Dr. Ali Mansour
Dr. Sofiane Hamrioui
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
  • internet of things
  • artificial intelligence

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Published Papers (1 paper)

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Research

12 pages, 2244 KiB  
Article
Securing IoT Networks from DDoS Attacks Using a Temporary Dynamic IP Strategy
by Ahmad Hani El Fawal, Ali Mansour, Mohammad Ammad Uddin and Abbass Nasser
Sensors 2024, 24(13), 4287; https://doi.org/10.3390/s24134287 - 1 Jul 2024
Viewed by 1203
Abstract
The progression of the Internet of Things (IoT) has brought about a complete transformation in the way we interact with the physical world. However, this transformation has brought with it a slew of challenges. The advent of intelligent machines that can not only [...] Read more.
The progression of the Internet of Things (IoT) has brought about a complete transformation in the way we interact with the physical world. However, this transformation has brought with it a slew of challenges. The advent of intelligent machines that can not only gather data for analysis and decision-making, but also learn and make independent decisions has been a breakthrough. However, the low-cost requirement of IoT devices requires the use of limited resources in processing and storage, which typically leads to a lack of security measures. Consequently, most IoT devices are susceptible to security breaches, turning them into “Bots” that are used in Distributed Denial of Service (DDoS) attacks. In this paper, we propose a new strategy labeled “Temporary Dynamic IP” (TDIP), which offers effective protection against DDoS attacks. The TDIP solution rotates Internet Protocol (IP) addresses frequently, creating a significant deterrent to potential attackers. By maintaining an “IP lease-time” that is short enough to prevent unauthorized access, TDIP enhances overall system security. Our testing, conducted via OMNET++, demonstrated that TDIP was highly effective in preventing DDoS attacks and, at the same time, improving network efficiency and IoT network protection. Full article
(This article belongs to the Special Issue Intelligent Technologies and Applications of Wireless Sensor Networks)
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