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Mobile Communication in Wireless Sensors Networks

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

Deadline for manuscript submissions: closed (30 September 2020) | Viewed by 9460

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Special Issue Editors

Prof. Dr. Ana Rosa Cavalli

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Guest Editor

Department of Mobile Networks and Services, Institute Mines-Telecom/Telecom Sud Paris, 9 rue Charles Fourier, CEDEX, 91011 EVRY, France
Interests: network protocols; network monitoring; network security; cybersecurity; Internet of Things; formal modelling and testing
Special Issues, Collections and Topics in MDPI journals

Prof. Dr. Stephane Maag

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Guest Editor

Samovar, CNRS, Télécom SudParis, Institut Polytechnique de Paris, France
Interests: communication networks; wireless networks; monitoring; testing; formal methods; machine learning

Dr. Fatiha Zaidi

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Guest Editor

CNRS, LRI Université Paris-Saclay, Université Paris-Sud, France
Interests: testing; verification; monitoring; wireless sensor networks; web services

Special Issue Information

Dear Colleagues,

The Internet of Things (IoT) has become increasingly relevant in many domains. Several reasons explain this relevance: the multiplicity of applications that are provided within the industry, as well as user needs in terms of services and new technologies.

Multiple and heterogeneous platforms exist based on IoT networks, and one may say that wireless sensor networks (WSN) dominate these platforms. Further, in many areas, mobile communications are needed in WSNs to ensure quality and reliability, despite the huge number of sensors and constrained resources.

Mobile WSNs are more versatile than static sensor networks as they can be deployed in any scenario and cope with rapid topology changes. Several challenges can be mentioned regarding these networks, including routing due to their dynamic topology; security and privacy since the data collected can be highly sensitive; bringing connectivity to such devices, which introduces security vulnerabilities; and validation and testing to ensure that models and implementations are correct. Other challenges regarding digital infrastructures and IoT intelligent mobility are also relevant.

The purpose of this Special Issue is to solicit papers from academia and industry with original and innovative contributions on all aspects of mobile communication in WSNs and IoT infrastructures that present and go beyond the state of the art, highlight challenges, and open new research perspectives.

Topics of interest include but are not limited to:

Communication protocols;
Routing protocols;
Validation and verification techniques;
Security and privacy issues;
Localization of sensors and devices;
Remote maintenance and control;
Resilience;
Digital infrastructures and IoT;
Energy and mobile WSN;
Hardware for mobile WSN;
Mobile WSN and standards;
Testbed, experiments, and industrial evaluations

Prof. Dr. Ana Rosa Cavalli
Prof. Dr. Stephane Maag
Dr. Fatiha Zaidi
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. 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

Mobile WSNs
Internet of Things
Communication protocols
Security, resilience, and privacy
Digital infrastructures
Testbed, experiments, and industrial evaluations

Published Papers (3 papers)

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26 pages, 845 KiB

Open AccessArticle

Semantic-Aware Security Orchestration in SDN/NFV-Enabled IoT Systems

by Alejandro Molina Zarca, Miloud Bagaa, Jorge Bernal Bernabe, Tarik Taleb and Antonio F. Skarmeta

Sensors 2020, 20(13), 3622; https://doi.org/10.3390/s20133622 - 27 Jun 2020

Cited by 24 | Viewed by 3766

Abstract

IoT systems can be leveraged by Network Function Virtualization (NFV) and Software-Defined Networking (SDN) technologies, thereby strengthening their overall flexibility, security and resilience. In this sense, adaptive and policy-based security frameworks for SDN/NFV-aware IoT systems can provide a remarkable added value for self-protection and self-healing, by orchestrating and enforcing dynamically security policies and associated Virtual Network Functions (VNF) or Virtual network Security Functions (VSF) according to the actual context. However, this security orchestration is subject to multiple possible inconsistencies between the policies to enforce, the already enforced management policies and the evolving status of the managed IoT system. In this regard, this paper presents a semantic-aware, zero-touch and policy-driven security orchestration framework for autonomic and conflict-less security orchestration in SDN/NFV-aware IoT scenarios while ensuring optimal allocation and Service Function Chaining (SFC) of VSF. The framework relies on Semantic technologies and considers the security policies and the evolving IoT system model to dynamically and formally detect any semantic conflict during the orchestration. In addition, our optimized SFC algorithm maximizes the QoS, security aspects and resources usage during VSF allocation. The orchestration security framework has been implemented and validated showing its feasibility and performance to detect the conflicts and optimally enforce the VSFs. Full article

(This article belongs to the Special Issue Mobile Communication in Wireless Sensors Networks)

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26 pages, 968 KiB

Open AccessArticle

Improving Signal-Strength Aggregation for Mobile Crowdsourcing Scenarios

by Diego Madariaga, Javier Madariaga, Javier Bustos-Jiménez and Benjamin Bustos

Sensors 2021, 21(4), 1084; https://doi.org/10.3390/s21041084 - 05 Feb 2021

Cited by 5 | Viewed by 2657

Abstract

Due to its huge impact on the overall quality of service (QoS) of wireless networks, both academic and industrial research have actively focused on analyzing the received signal strength in areas of particular interest. In this paper, we propose the improvement of signal-strength aggregation with a special focus on Mobile Crowdsourcing scenarios by avoiding common issues related to the mishandling of log-scaled signal values, and by the proposal of a novel aggregation method based on interpolation. Our paper presents two clear contributions. First, we discuss the misuse of log-scaled signal-strength values, which is a persistent problem within the mobile computing community. We present the physical and mathematical formalities on how signal-strength values must be handled in a scientific environment. Second, we present a solution to the difficulties of aggregating signal strength in Mobile Crowdsourcing scenarios, as a low number of measurements and nonuniformity in spatial distribution. Our proposed method obtained consistently lower Root Mean Squared Error (RMSE) values than other commonly used methods at estimating the expected value of signal strength over an area. Both contributions of this paper are important for several recent pieces of research that characterize signal strength for an area of interest. Full article

(This article belongs to the Special Issue Mobile Communication in Wireless Sensors Networks)

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18 pages, 8267 KiB

Open AccessArticle

Performance Evaluation of an Integrated Fuzzy-Based Driving-Support System for Real-Time Risk Management in VANETs

by Kevin Bylykbashi, Ermioni Qafzezi, Phudit Ampririt, Makoto Ikeda, Keita Matsuo and Leonard Barolli

Sensors 2020, 20(22), 6537; https://doi.org/10.3390/s20226537 - 16 Nov 2020

Cited by 19 | Viewed by 2449

Abstract

The highly competitive and rapidly advancing autonomous vehicle race has been on for several years now, and it has made the driver-assistance systems a shadow of their former self. Nevertheless, automated vehicles have many obstacles on the way, and until we have them on the roads, promising solutions that can be achievable in the near future should be sought-after. Driving-support technologies have proven themselves to be effective in the battle against car crashes, and with Vehicular Ad hoc Networks (VANETs) supporting them, their efficiency is expected to rise steeply. In this work, we propose and implement a driving-support system which, on the one hand, could immensely benefit from major advancement of VANETs, but on the other hand can effectively be implemented as a stand-alone system. The proposed system consists of a non-intrusive integrated fuzzy-based system able to detect a risky situation in real time and alert the driver about the danger. It makes use of the information acquired from various in-car sensors as well as from communications with other vehicles and infrastructure to evaluate the condition of the considered parameters. The parameters include factors that affect the driver’s ability to drive, such as his/her current health condition and the inside environment in which he/she is driving, the vehicle speed, and factors related to the outside environment such as the weather and road condition. We show the effect of these parameters on the determination of the driving risk level through simulations and experiments and explain how these risk levels are translated into actions that can help the driver to manage certain risky situations, thus improving the driving safety. Full article

(This article belongs to the Special Issue Mobile Communication in Wireless Sensors Networks)

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