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Multi-Agent Sensors Systems and Their Applications

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

Deadline for manuscript submissions: 31 July 2025 | Viewed by 633

Special Issue Editor


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Guest Editor
School of Engineering, Macquarie University, Sydney 2109, Australia
Interests: CFD; process optimisation; Pyrolysis; heat transfer; biosensors

Special Issue Information

Dear Colleagues,

The evolution of multi-agent sensor systems represents a paradigm shift in sensor network design, enabling collaborative and intelligent sensing capabilities across distributed environments. These systems, composed of multiple autonomous sensor nodes that can communicate, cooperate, and adapt to dynamic conditions, possess the potential to revolutionize various applications ranging from environmental monitoring and smart cities to industrial automation and healthcare.

This Special Issue aims to explore the latest developments and applications of multi-agent sensor systems. topics of interest include, but are not limited to, the following:

  • Design and optimization of multi-agent sensor networks;
  • Collaborative sensing and information fusion techniques;
  • Applications of multi-agent sensor systems in IoT, smart environments, and industrial automation;
  • Energy-efficient protocols and algorithms for multi-agent sensor networks;
  • Security and privacy considerations in multi-agent sensor systems;
  • Machine learning and AI approaches for enhancing multi-agent sensor system performance;
  • Case studies and real-world deployments of multi-agent sensor systems.

Dr. Salman Jalalifar
Guest Editor

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

  • multi-agent sensor systems
  • collaborative sensing
  • information fusion
  • industrial automation

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Published Papers (1 paper)

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Research

21 pages, 8079 KiB  
Article
Adaptive Communication Model for QoS in Vehicular IoT Systems Using CTMC
by Adeel Iqbal, Tahir Khurshaid, Ali Nauman and Sung Won Kim
Sensors 2025, 25(6), 1818; https://doi.org/10.3390/s25061818 - 14 Mar 2025
Viewed by 287
Abstract
Vehicular Internet of Things (V-IoT) systems will be critical in advancing intelligent transportation networks because of the easy communication they make possible between vehicles, roadside infrastructure, and other network entities. Integrating adaptive IoT-based communication models will increase resource utilization and allow multiple communications [...] Read more.
Vehicular Internet of Things (V-IoT) systems will be critical in advancing intelligent transportation networks because of the easy communication they make possible between vehicles, roadside infrastructure, and other network entities. Integrating adaptive IoT-based communication models will increase resource utilization and allow multiple communications in vehicular networks. This work proposes an Adaptive Multi-mode Spectrum Access (AMSA) approach for optimal Quality of Service (QoS) in multi-class V-IoT networks. Unlike traditional static spectrum access methods, AMSA switches between interweave, underlay, and coexistence modes based on network conditions. Our results indicate that AMSA improves spectrum usage by 56% over static spectrum access improves throughput by 110%, and reduces delay for low-priority traffic by up to 47.5%. This new integration offers robust vehicular communication with optimal resource allocation under different network scenarios. Full article
(This article belongs to the Special Issue Multi-Agent Sensors Systems and Their Applications)
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