Developments and Applications of Wireless Sensor Networks

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".

Deadline for manuscript submissions: closed (20 December 2023) | Viewed by 371

Special Issue Editor

Institute of Logistics Science and Engineering, Shanghai Maritime University, Shanghai 201306, China
Interests: wireless sensor networks; network reliability; port Internet of Things; opportunistic networks; next generation Internet
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Advances in wireless sensor network (WSN) technology have had a tremendous impact on a wide range of industries and research areas, from smart homes and transportation to environmental monitoring and defense. The development and application of WSNs continue to be a rapidly evolving field, with new innovations and challenges emerging constantly.

We are pleased to invite contributions to a Special Issue on the development and application of WSNs, which will be published in Applied Sciences. We welcome original research articles, review papers, and case studies on all aspects of WSNs, including, but not limited, to the following:

  • Sensor technology for WSNs;
  • Protocol design and optimization;
  • Deployment strategies and performance evaluation;
  • Energy-efficient routing and scheduling;
  • Data mining and management for WSNs;
  • Applications of WSNs in smart cities, healthcare, environment, agriculture, and more;
  • Security and privacy in WSNs;
  • Artificial intelligence in WSNs;
  • Integration of WSNs with IoT and other systems.

Dr. Xiuwen Fu
Guest Editor

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. Applied Sciences 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 2400 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
  • routing protocol
  • Internet of Things
  • data mining
  • artificial intelligence
  • network optimization
  • security and privacy
  • smart home
  • network modelling

Published Papers (1 paper)

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17 pages, 3579 KiB  
Article
Sensor Placement Optimization of Visual Sensor Networks for Target Tracking Based on Multi-Objective Constraints
Appl. Sci. 2024, 14(5), 1722; https://doi.org/10.3390/app14051722 - 20 Feb 2024
Viewed by 223
Abstract
With the advancement of sensor technology, distributed processing technology, and wireless communication, Visual Sensor Networks (VSNs) are widely used. However, VSNs also have flaws such as poor data synchronization, limited node resources, and complicated node management. Thus, this paper proposes a sensor placement [...] Read more.
With the advancement of sensor technology, distributed processing technology, and wireless communication, Visual Sensor Networks (VSNs) are widely used. However, VSNs also have flaws such as poor data synchronization, limited node resources, and complicated node management. Thus, this paper proposes a sensor placement optimization method to save network resources and facilitate management. First, some necessary models are established, including the sensor model, the space model, the coverage model, and the reconstruction error model, and a dimensionality reduction search method is proposed. Next, following the creation of a multi-objective optimization function to balance reconstruction error and coverage, a clever optimization algorithm that combines the benefits of Genetic Algorithms (GA) and Particle Swarm Optimization (PSO) is applied. Finally, comparison studies validate the methodology presented in this paper, and the combined algorithm can enhance optimization effect while relatively reducing running time. In addition, a sensor coverage method for large-range target space with obstacles is discussed. Full article
(This article belongs to the Special Issue Developments and Applications of Wireless Sensor Networks)
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