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Efficient Networking Architectures for Next-Generation Smart and Connected Systems

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: 20 June 2026 | Viewed by 2110

Special Issue Editors


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Guest Editor
Department of Systems Engineering, Universidad del Norte, Barranquilla, Colombia
Interests: computer networking; wireless sensor network; network; cloud computing; network communication; information and communication technology; energy efficiency

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Guest Editor
College of Information Science & Technology, University of Nebraska at Omaha, Omaha, NE, USA
Interests: privacy; mobile/ubiquitous computing; CS education
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Special Issue Information

Dear Colleagues,

This Special Issue of Applied Sciences focuses on the evolving landscape of efficient networking across the entire digital ecosystem—from low-power wireless sensor networks to scalable cloud computing infrastructures. As data-driven applications continue to expand across domains such as smart cities, industrial automation, environmental monitoring, and healthcare, the demand for optimized communication and computation becomes increasingly critical. We invite original research and review articles that address innovations in one or more of the following or similar topics: networking protocols, energy-efficient communication strategies, distributed architectures, edge and fog computing, efficient blockchain networks, IoT frameworks, and cloud resource optimization. Contributions exploring the impact of efficient networking at the intersection of hardware and software, data security, real-time analytics, AI/ML, and adaptive networking in dynamic environments are especially welcome.

The aim is to provide a comprehensive platform for sharing the latest advancements that enable seamless, secure, and scalable data exchange across heterogeneous systems. Submissions should emphasize practical implications, experimental validation, and the potential for real-world deployment.

Researchers, practitioners, and engineers are encouraged to contribute to this interdisciplinary issue, which seeks to bridge the gap between embedded sensor networks and high-performance cloud computing, ultimately fostering more resilient and efficient digital infrastructures.

Dr. Miguel Jimeno
Dr. Alfredo J. Pérez
Guest Editors

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

  • energy efficiency
  • cloud computing
  • edge computing
  • IoT
  • resource optimization
  • WSN

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Published Papers (2 papers)

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Research

25 pages, 4148 KB  
Article
Energy-Saving Method for Nearby Wireless Battery-Powered Trackers Based on Their Cooperation
by Nerijus Morkevičius, Agnius Liutkevičius, Laura Kižauskienė, Audronė Janavičiūtė and Roman Banakh
Appl. Sci. 2025, 15(24), 12886; https://doi.org/10.3390/app152412886 - 5 Dec 2025
Viewed by 777
Abstract
The tracking of assets or cargo is one of the main objectives of global logistics and transportation systems, ensuring operational efficiency, security, and timeliness. Currently, battery-operated GPS (Global Positioning System)-based tracking devices are used for this purpose. The main shortcoming of these devices [...] Read more.
The tracking of assets or cargo is one of the main objectives of global logistics and transportation systems, ensuring operational efficiency, security, and timeliness. Currently, battery-operated GPS (Global Positioning System)-based tracking devices are used for this purpose. The main shortcoming of these devices is the lifetime of the batteries because they cannot be replaced or recharged, or because this is simply not economically feasible. Therefore, efficient methods are needed to prolong battery life as much as possible. Various existing energy-saving techniques can be applied to solve this problem. However, none of these consider situations in which multiple tracking devices are transported together and can cooperate to further increase their energy efficiency. In this study, we propose and evaluate the novel lightweight peer-to-peer energy-saving method for nearby wireless battery-powered trackers based on their cooperation. The proposed method is based on the short-range BLE (Bluetooth Low Energy) device discovery mechanism and the dynamic election of the leader tracker (with the highest battery capacity) to report the location of its own and other neighboring trackers to the central server. The experimental evaluation of the proposed method shows that, compared to the traditional approach, where each tracker sends its location individually, the proposed method allows a reduction in the average battery charge required for one position report from 19% to 240% per each cooperating tracker. The average energy consumption for one location report per node decreased from 4.68 mWh using the traditional approach to 3.93 mWh for 2 cooperating devices and 1.92 mWh for 15 cooperating devices. Full article
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17 pages, 16755 KB  
Article
DLMS over Wi-SUN FAN Networks: Performance Evaluation
by Ananias Ambrosio Quispe, William Lopes de Oliveira, Giancarlo Covolo Heck, Luciana Michelotto Iantorno, Patryk Henrique da Fonseca and Rodrigo Jardim Riella
Appl. Sci. 2025, 15(23), 12499; https://doi.org/10.3390/app152312499 - 25 Nov 2025
Viewed by 973
Abstract
The DLMS (Device Language Message Specification) standard is widely adopted in smart metering systems for utility services, as it defines the mechanisms that enable the standardized and interoperable exchange of data between metering devices. Wi-SUN FAN (Wireless Smart Ubiquitous Network Field Area Network) [...] Read more.
The DLMS (Device Language Message Specification) standard is widely adopted in smart metering systems for utility services, as it defines the mechanisms that enable the standardized and interoperable exchange of data between metering devices. Wi-SUN FAN (Wireless Smart Ubiquitous Network Field Area Network) is a wireless communication standard that has gained increasing attention in the field of smart metering networks, due to its capability to operate in mesh topologies and support multi-hop communications in an efficient and scalable manner. To date, no studies have been reported that evaluate the combined performance of the DLMS and Wi-SUN FAN standards. In this context, this work evaluates the performance of the DLMS standard over a Wi-SUN FAN network through detailed simulations conducted using the Contiki-NG/Cooja platform. The study implements the DLMS data transmission process and evaluates key performance metrics such as Packet Delivery Rate (PDR) and latency, considering both linear and mesh network topologies. The results demonstrate that a Wi-SUN FAN network can provide efficient and reliable communication services, achieving PDR values above 86.02% in both topologies, thereby confirming its feasibility for DLMS-based smart metering applications. Full article
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