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Special Issue "Data and Privacy Management in Sensor Networks"

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

Deadline for manuscript submissions: 31 December 2022 | Viewed by 1419

Special Issue Editors

Prof. Dr. Richard Chbeir
E-Mail Website
Guest Editor
IUT de Bayonne, 2 Allée du Parc de Montaury, Campus Montaury/Anglet, Université de Pau et des Pays de l'Adour (UPPA), Office 200, 64600 Anglet, France
Interests: multimedia information retrieval; XML and RSS Similarity; access control models; digital ecosystems.
Special Issues, Collections and Topics in MDPI journals
Dr. Taoufik Yeferny
E-Mail Website
Guest Editor
LIUPPA, Université de Pau et des Pays de l'Adour, 2 Allée du Parc Montaury, 64600 Anglet, France
Interests: mobile computing; connected envirenement; vehicular ad-hoc networks; intelligent transportation systems

Special Issue Information

Dear Colleagues,

Recent years have witnessed a widespread interest in innovative sensor networks capable of providing valuable data for various applications (e.g., home automation, energy management), the connected objects and environments impact numerous application domains. From smart homes and buildings to cities, vehicle networks, and electrical grids, they have become a novel trend that is revolutionizing how people interact with their surroundings, how they accomplish their daily tasks in the workplace, and how they handle their health security, and safety. Sensor networks markets are currently booming and are projected to continue their growth for the years to come. The rising interest in intelligent connected environments (e.g., smart buildings, cities, factories) and the evolution of sensors, data management/communication technologies have paved the way for exciting and valuable applications that help users in their everyday tasks (e.g., increasing comfort, reducing energy consumption).

Indeed, the sensor network ecosystem have made it easy to collect and exchange a large amount of data, connect heterogeneous systems, create complex systems for new forms of collaboration and interoperability. Typically, the sensed data are transmitted to the edge nodes, or directly to the cloud/server where it will be stored, indexed, processed and analysed to offer a new class of advanced services, such as envirenement monitoring, objects tracking, event detection, advanced data analytics, etc. Despite the progress made, however, data and privacy management in sensor networks remains a core and challenging issues. In fact, due to the nature of sensor networks, there exist complexity in gathering, aggregation, indexing, storage, processing and analysing big data generated by resource-constrained sensor nodes per unit time. Furthermore, sensor networks also impose new challenges related to knowledge discovery and decision-making automation, security, privacy, and trust.

This special issue will promote the state-of-the-art research covering all aspects of the data and privacy management in sensor networks. High quality contributions addressing related theoretical and practical aspects are expected. The topics of interest for this special issue include, but are not limited to :

  • Modelling, simulation of sensor networks
  • Architecture and Protocols for sensor networks
  • Data gathering, storage and aggregation in sensor networks
  • Data processing, indexing and discovery in sensor networks
  • Data analytics solutions for sensor networks
  • Knowledge discovery and decision-making automation in sensor networks
  • Modelling, analysis, simulation, and verification of security, privacy, and trustworthiness for sensor networks
  • Detection, evaluation, and prevention of threats and attacks in sensor networks
  • Data security, privacy, and trustworthiness in sensor networks

Dr. Richard Chbeir
Dr. Taoufik Yeferny
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 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.

Published Papers (1 paper)

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Research

Article
Location-Aware Resource Discovery and QoR-Driven Resource Selection for Hybrid Web Environments
Sensors 2021, 21(20), 6835; https://doi.org/10.3390/s21206835 - 14 Oct 2021
Viewed by 451
Abstract
In the Web of Things (WoT) context, an increasing number of stationary and mobile objects provide functions as RESTful services, also called resources, that can be combined with other existing Web resources, to create value-added processes. However, nowadays resource discovery and selection are [...] Read more.
In the Web of Things (WoT) context, an increasing number of stationary and mobile objects provide functions as RESTful services, also called resources, that can be combined with other existing Web resources, to create value-added processes. However, nowadays resource discovery and selection are challenging, due to (1) the growing number of resources providing similar functions, making Quality of Resource (QoR) essential to select appropriate resources, (2) the transient nature of resource availability due to sporadic connectivity, and (3) the location changes of mobile objects in time. In this paper, we first present a location-aware resource discovery that relies on a 3-dimensional indexing schema, which considers object location for resource identification. Then, we present a QoR-driven resource selection approach that uses a Selection Strategy Adaptor (SSA) to form i-compositions (with i N*) offering different implementation alternatives. The defined SSA allows forming resource compositions while considering QoR constraints and Inputs/Outputs matching of related resources, as well as resource availability and users different needs (e.g., optimal and optimistic compositions obtained using a scoring system). Analyses are made to evaluate our service quality model against existing ones, and experiments are conducted in different environments setups to study the performance of our solution. Full article
(This article belongs to the Special Issue Data and Privacy Management in Sensor Networks)
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