Special Issue "Wireless Network Protocols and Performance Evaluation"

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Microwave and Wireless Communications".

Deadline for manuscript submissions: 31 October 2020.

Special Issue Editors

Prof. Dr. Andrey Lyakhov
Website
Guest Editor
Institute for Information Transmission Problems, Russian Academy of Sciences, Moscow, Russia
Interests: design and analysis of wireless network protocols; wireless network performance evaluation methods; stochastic modeling of wireless networks based on random multiple access
Prof. Dr. Hossam S. Hassanein
Website
Guest Editor
School of Computing, Queen’s University, Kingston, ON K7L 3N6, Canada
Interests: 5G wireless sensor networks; radio resource management; edge computing; Internet of things; data-centric networks
Special Issues and Collections in MDPI journals
Prof. Dr. Katarzyna Kosek-Szott
Website
Guest Editor
Department of Telecommunications, AGH University of Science and Technology, Krakow, Poland
Interests: wireless LANs; quality of service provisioning; novel 802.11 amendments; coexistence in unlicensed bands (e.g., Wi-Fi + LAA/NR-U); IoT and wireless SDN; modelling and simulation of wireless networks; network protocols

Special Issue Information

Dear Colleagues,

Telecommunication technologies are rapidly evolving due to the rapid change of imposed functional requirements. Specifically, a quarter-century ago, the most typical problems of the time were successfully resolved by wired networks connecting mainframes. At the turn of the millennium, wireless networks were developed rapidly due to the need for the Internet access anytime and anywhere. Nowadays, we are witnessing the emergence of the Internet of Things, the ecosystem of billions of autonomous devices (sensors, controllers, robots, etc.) interacting with each other. Additionally, the future Internet will connect people and "things" and will become the Internet of Everything.

The practical development of this concept is driven by the evolution of the wireless networking technologies which are facing a number of challenges: the exponential growth of traffic, the increase in the number and density of wireless devices, and the rapid development of a new type of communications between autonomous systems involving physical objects and manufacturing processes. The development of these technologies is impossible without substantial progress in the field of modulation and coding schemes, channel access methods, QoS/QoE support and energy efficiency, the theory and recommended practice of reliable data delivery in multi-hop wireless networks (wireless mesh networks, MANET, VANET, FANET, etc.), analytical modelling, and the performance evaluation of wireless networks and their protocols.

The main aim of this Special Issue is to seek high-quality submissions focusing on the development of efficient algorithms for wireless networks and mathematical frameworks for the performance evaluation of network protocols. Topics of interest include, but are not limited to:

  • Ad-hoc, sensor, mesh, and vehicular wireless networks;
  • Energy efficiency and QoS/QoE provisioning for wireless and mobile networks;
  • 5G Systems and beyond;
  • Coexistence of wireless technologies in unlicensed bands;
  • Network virtualization and software-defined wireless networks;
  • Underground and underwater communications;
  • RFID, NFC, and machine-to-machine (M2M) communications;
  • Stochastic processes and models of wireless networks and their protocols;
  • Queues and queueing networks for wireless network performance evaluation;
  • Simulation tools for wireless network performance evaluation;
  • Testbeds and prototypes.
Prof. Dr. Andrey Lyakhov
Prof. Dr. Hossam S. Hassanein
Prof. Dr. Katarzyna Kosek-Szott
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 papers will be 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. Electronics is an international peer-reviewed open access monthly 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 1500 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 network protocols
  • performance evaluation
  • QoS/QoE
  • analytical models
  • simulation
  • testbeds

Published Papers (2 papers)

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Research

Open AccessFeature PaperArticle
Energy-Aware Sensing on Battery-Less LoRaWAN Devices with Energy Harvesting
Electronics 2020, 9(6), 904; https://doi.org/10.3390/electronics9060904 - 29 May 2020
Abstract
Billions of Internet of Things (IoT) devices rely on batteries as the main power source. These batteries are short-lived, bulky and harmful to the environment. Battery-less devices provide a promising alternative for a sustainable IoT, where energy harvested from the environment is stored [...] Read more.
Billions of Internet of Things (IoT) devices rely on batteries as the main power source. These batteries are short-lived, bulky and harmful to the environment. Battery-less devices provide a promising alternative for a sustainable IoT, where energy harvested from the environment is stored in small capacitors. This constrained energy storage and the unpredictable energy harvested result in intermittent on–off behavior of the device. Measuring and understanding the current consumption and execution time of different tasks of IoT applications is crucial to properly operate these battery-less devices. In this paper, we study how to properly schedule sensing and transmission tasks on a battery-less LoRaWAN device. We analyze the trade-off between sleeping and allowing the device to turn off between the execution of application tasks. This study allows us to properly define the device configuration (i.e., capacitor size) based on the application tasks (i.e., sensing and sending) and environmental conditions (i.e., harvesting rate). We define an optimization problem that determines the optimal capacitor voltage at which the device should start performing its tasks. Our results show that a device using LoRaWAN Class A can measure the temperature and transmit its data at least once every 5 s if it can harvest at least 10 mA of current and uses a relatively small capacitor of 10 mF or less. At harvesting rates below 3 mA, it is necessary to turn off the device between application cycles and use a larger supercapacitor of at least 140 mF. In this case, the device can transmit a temperature measurement once every 60–100 s. Full article
(This article belongs to the Special Issue Wireless Network Protocols and Performance Evaluation)
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Open AccessArticle
FQ-AGO: Fuzzy Logic Q-Learning Based Asymmetric Link Aware and Geographic Opportunistic Routing Scheme for MANETs
Electronics 2020, 9(4), 576; https://doi.org/10.3390/electronics9040576 - 29 Mar 2020
Abstract
The proliferation of mobile and IoT devices, coupled with the advances in the wireless communication capabilities of these devices, have urged the need for novel communication paradigms for such heterogeneous hybrid networks. Researchers have proposed opportunistic routing as a means to leverage the [...] Read more.
The proliferation of mobile and IoT devices, coupled with the advances in the wireless communication capabilities of these devices, have urged the need for novel communication paradigms for such heterogeneous hybrid networks. Researchers have proposed opportunistic routing as a means to leverage the potentials offered by such heterogeneous networks. While several proposals for multiple opportunistic routing protocols exist, only a few have explored fuzzy logic to evaluate wireless links status in the network to construct stable and faster paths towards the destinations. We propose FQ-AGO, a novel Fuzzy Logic Q-learning Based Asymmetric Link Aware and Geographic Opportunistic Routing scheme that leverages the presence of long-range transmission links to assign forwarding candidates towards a given destination. The proposed routing scheme utilizes fuzzy logic to evaluate whether a wireless link is useful or not by capturing multiple network metrics, the available bandwidth, link quality, node transmission power, and distance progress. Based on the fuzzy logic evaluation, the proposed routing scheme employs a Q-learning algorithm to select the best candidate set toward the destination. We implemented FQ-AGO on the ns-3 simulator and compared the performance of the proposed routing scheme with three other relevant protocols: AODV, DSDV, and GOR. For precise analysis, we considered various network metrics to compare the performance of the routing protocols. The simulation result validates our analysis and demonstrates remarkable performance improvements in terms of total network throughput, packet delivery ration, and end-to-end delay. FQ-AGO achieves up to 15%, 50%, and 45% higher throughput compared to DSDV, AODV, and GOR, respectively. Meanwhile, FQ-AGO reduces by 50% the end-to-end latency and the average number of hop-count. Full article
(This article belongs to the Special Issue Wireless Network Protocols and Performance Evaluation)
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Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: Joint URLLC and adaptive video service: modeling and optimization
Authors: K. Ragimova; M. Liubogoshchev; E. Khorov
Affiliation: Russian Academy of Sciences, Moscow, Russia
Abstract: Emerging 5G networks are expected to enable a wide variety of novel scenarios, services and traffic types. One of such novel scenarios is factory automation, when numerous sensors and controllers generate URLLC traffic: exchange control messages with extremely high requirements on reliability and delay. At the same time, to reduce costs and improve network utilization, the rest of the resources can be used to transmit video surveillance traffic from cameras located around the factory. To provide smooth video playback under possible fluctuations in the intensity of high priority traffic, video streaming should be done in an adaptive manner, e.g., by means of MPEG-DASH technology. In this paper, we investigate this scenario and develop an analytical model evaluating QoS for heterogeneous traffic. With this model, we can evaluate the impact of high priority traffic on video streaming and calculate the video stall probability for an arbitrary adaptation logic. It enables us to maximize the video quality under constrains on video stall probability, or conversely, to calculate the effective network capacity for high priority flows and video flows with the satisfied QoS requirements in order to optimally design the network.

Title: Efficient Clustering Protocol in Cognitive Radio Sensor Networks
Authors: Vladimir V. Shakhov; Insoo Koo
Affiliation: School of Electrical Engineering, University of Ulsan, Ulsan 680-749, South Korea
Abstract: Wireless sensor networks are considered as an important integral part of Internet of Things, which is the focus of research centers and governments around the world. Clustering mechanisms and cognitive radio, in turn, are considered as promising technologies for network management and spectral efficiency, respectively, in wireless networks. In this paper we consider lacks of previously proposed clustering protocols. In particular, we demonstrate that existing solutions do not operate properly with remaining energy and quality of available common channels even if their fusion is declared. Also, security issues have not been sufficiently developed. We offer an approach to avoid the lacks. To improve the protocol efficiency, a problem of its parameters tuning is discussed. Performance analysis of proposed solution is provided as well.

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