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Innovative Mobile Computing, Communication, and Sensing Systems
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Innovative Mobile Computing, Communication, and Sensing Systems

A special issue of Network (ISSN 2673-8732).

Deadline for manuscript submissions: closed (30 April 2024) | Viewed by 2616

Special Issue Editors

Prof. Dr. Tianxing Li

E-Mail Website
Guest Editor
Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA
Interests: wireless communication; sensing; low-power systems
Prof. Dr. Nidal Nasser

E-Mail Website
Guest Editor
Software Engineering Department College of Engineering, Alfaisal University, Riyadh, Saudi Arabia
Interests: Internet of Things; wireless sensor networks; network management; quality of service; mobile networks; radio resource management; data scheduling; blockchain

Special Issue Information

Dear Colleagues,

This Special Issue is focused on innovative mobile computing, communication, and sensing systems, as well as their technical contributions with working implementations and practical evaluations. We especially welcome work that explores novel and compelling mobile systems, wearable technologies and intelligent environments, as long as the work goes well beyond providing an initial vision. Successful papers should propose novel ideas to attack such problems through rigorous analysis, system design, and/or the real-world measurement and deployment of mobile networks, systems and applications.

We invite submissions on a wide range of topics in mobile computing and wireless networking research, including but not limited to:

  • Innovative wearable systems and applications;
  • Applications of crowdsourcing;
  • Novel mobile applications using machine learning;
  • Techniques and systems for novel human-mobile interactions and experiences;
  • Mobile computing support for pervasive computing;
  • Systems for location and context sensing and awareness;
  • Resource-efficient machine learning and AI for mobile devices;
  • Mobile health;
  • Visible light communications;
  • Edge computing;
  • Applications of machine learning to mobile/wireless research;
  • Energy management for mobile devices;
  • Long-range/low-power wide-area wireless networking;
  • Low-latency wireless networking;
  • Machine-to-machine communications;
  • 5G and 6G communications;
  • Vehicular and mobile robotic systems;
  • Mobile web, video, virtual reality, and other applications;
  • Novel applications of wireless signals;
  • Security and privacy issues/solutions for mobile/wireless systems.

Prof. Dr. Tianxing Li
Prof. Dr. Nidal Nasser
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. Network is an international peer-reviewed open access quarterly 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 1000 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.

Published Papers (2 papers)

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Research

20 pages, 16587 KiB  
Article
Survey for Soil Sensing with IOT and Traditional Systems
by Juexing Wang, Xiao Zhang, Li Xiao and Tianxing Li
Network 2023, 3(4), 482-501; https://doi.org/10.3390/network3040021 - 08 Oct 2023
Viewed by 1017
Abstract
Smart Agriculture has gained significant attention in recent years due to its benefits for both humans and the environment. However, the high costs associated with commercial devices have prevented some agricultural lands from reaping the advantages of technological advancements. Traditional methods, such as [...] Read more.
Smart Agriculture has gained significant attention in recent years due to its benefits for both humans and the environment. However, the high costs associated with commercial devices have prevented some agricultural lands from reaping the advantages of technological advancements. Traditional methods, such as reflectance spectroscopy, offer reliable and repeatable solutions for soil property sensing, but the high costs and redundancy of preprocessing steps limit their on-site applications in real-world scenarios. Recently, RF-based soil sensing systems have opened a new dimension in soil property analysis using IoT-based systems. These systems are not only portable, but also significantly cheaper than traditional methods. In this paper, we carry out a comprehensive review of state-of-the-art soil property sensing, divided into four areas. First, we delve into the fundamental knowledge and studies of reflectance-spectroscopy-based soil sensing, also known as traditional methods. Secondly, we introduce some RF-based IoT soil sensing systems employing a variety of signal types. In the third segment, we introduce the details of sample pretreatment, inference methods, and evaluation metrics. Finally, after analyzing the strengths and weaknesses of the current work, we discuss potential future aspects of soil property sensing. Full article
(This article belongs to the Special Issue Innovative Mobile Computing, Communication, and Sensing Systems)
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17 pages, 4294 KiB  
Article
Route Optimization of Unmanned Aerial Vehicle Sensors for Localization of Wireless Emitters in Outdoor Environments
by Gia Khanh Tran, Takuto Kamei and Shoma Tanaka
Network 2023, 3(3), 326-342; https://doi.org/10.3390/network3030016 - 18 Aug 2023
Cited by 1 | Viewed by 873
Abstract
Localization methods of unknown emitters are used for the monitoring of illegal radio waves. The localization methods using ground-based sensors suffer from a degradation of localization accuracy in environments where the distance between the emitter and the sensor is non-line-of-sight (NLoS). Therefore, research [...] Read more.
Localization methods of unknown emitters are used for the monitoring of illegal radio waves. The localization methods using ground-based sensors suffer from a degradation of localization accuracy in environments where the distance between the emitter and the sensor is non-line-of-sight (NLoS). Therefore, research is being conducted to improve localization accuracy by utilizing Unmanned Aerial Vehicles (UAVs) as sensors to ensure a line-of-sight (LoS) condition. However, UAVs can fly freely over the sky, making it difficult to optimize flight paths based on particle swarm optimization (PSO) for efficient and accurate localization. This paper examines the optimization of UAV flight paths to achieve highly efficient and accurate outdoor localization of unknown emitters via two approaches, a circular orbit and free-path trajectory, respectively. Our numerical results reveal the improved localization estimation error performance of our proposed approach. Particularly, when evaluating at the 90th percentile of the error’s cumulative distribution function (CDF), the proposed approach can reach an error of 28.59 m with a circular orbit and 12.91 m with a free-path orbit, as compared to the conventional fixed sensor case whose localization estimation error is 55.02 m. Full article
(This article belongs to the Special Issue Innovative Mobile Computing, Communication, and Sensing Systems)
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