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Quality of Service in Sensor Networks
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Quality of Service in Sensor Networks

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

Deadline for manuscript submissions: closed (15 May 2020) | Viewed by 3940

Special Issue Editors

Prof. Dr. Mario Marchese

E-Mail Website
Guest Editor
Department of Electrical, Electronic and Telecommunications Engineering, and Naval Architecture (DITEN), Università degli Studi di Genova, 16145 Genoa, Italy
Interests: satellite communications; quality of service
Special Issues, Collections and Topics in MDPI journals
Dr. Fabio Patrone

E-Mail Website
Guest Editor
Department of Electrical, Electronic and Telecommunications Engineering, and Naval Architecture (DITEN), University of Genova, Via Opera Pia 11A, 16145 Genova, Italy
Interests: routing, scheduling, and congestion control algorithms in satellite, vehicular, and sensor networks; the study and development of machine learning (ML)-based techniques for cybersecurity solutions, such as ML-based intrusion detection systems (IDS); the employment of networking technologies, such as network function virtualization (NFV) and software defined networking (SDN), for the integration of these networks with the terrestrial infrastructure within 5G
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The importance of quality of service is parallel with the recent evolution of telecommunication networks, which are characterized by a great heterogeneity. On one hand, many applications require a specific level of assurance from the network. On the other hand, communication networks are characterized a great amount of heterogeneity: the evolution of the telecommunication networks which, for example, will lead the world to the Fifth Generation of Mobile Communications (5G), is characterized by a deep change in the telecommunication network infrastructure and in the employed technologies. This Future Internet will have to support a higher number of users/devices requiring Internet connectivity with different performance requirements and a higher number of applications and use cases. The Internet of Things (IoT) is one of the most meaningful emerged use cases which will involve an even higher number of connected devices, including a large amount of sensors, aimed at collecting and sending data with different purposes and over different application scenarios, such as smart city, smart factory, and smart agriculture. IoT envisages a world where a wide set  of  quantities  (vibrations,  heat,  light,  pressure,  magnetic  fields,  ...  )  are  acquired  through sensors and transmitted through suitable seamless communication  networks for  information,  decision,  and control aim. Applications extend to all environments where monitoring and connecting the physical world is important: civil protection, transportation, military, underwater,  space monitoring and communications, among others. The aim is to create a network of  heterogeneous devices which communicate data with each other and with other networking devices in a seamless way through heterogeneous network portions, often including flying technologies, such as communication satellites and Unmanned Aerial Vehicles (UAVs), with a given Quality of Service.

Within this context the call for papers invites technical contributions to Special Issue on “QoS in Sensor Networks”. The Special Issue aims to provide an up-to-date overview of QoS assuring solutions within IoT Networks and Innovative Applications. Potential topics include, but are not limited to:

  • QoS Metrics for IoT
  • QoS vs QoE (Quality of Experience)
  • QoS-oriented Technologies
  • QoS Interworking in IoT Networks
  • QoS Architectures for IoT Networks
  • Management of Sensor Heterogeneity
  • Management of Network Heterogeneity
  • Management of Protocol Heterogeneity
  • Signaling for QoS Architectures
  • Control Issue for QoS Assurance over IoT Networks
  • QoS-oriented IoT and UAV Integration

Dr. Mario Marchese
Dr. Fabio Patrone
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

  • QoS Metrics for IoT
  • QoS vs QoE (Quality of Experience)
  • QoS-oriented Technologies
  • QoS Interworking in IoT Networks
  • QoS Architectures for IoT Networks
  • Management of Sensor Heterogeneity
  • Management of Network Heterogeneity
  • Management of Protocol Heterogeneity
  • Signaling for QoS Architectures
  • Control Issue for QoS Assurance over IoT Networks
  • QoS-oriented IoT and UAV Integration

Published Papers (2 papers)

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Research

17 pages, 1588 KiB  
Article
Cluster-Fault Tolerant Routing in a Torus
by Antoine Bossard and Keiichi Kaneko
Sensors 2020, 20(11), 3286; https://doi.org/10.3390/s20113286 - 09 Jun 2020
Cited by 14 | Viewed by 2060
Abstract
The number of Internet-connected devices grows very rapidly, with even fears of running out of available IP addresses. It is clear that the number of sensors follows this trend, thus inducing large sensor networks. It is insightful to make the comparison with the [...] Read more.
The number of Internet-connected devices grows very rapidly, with even fears of running out of available IP addresses. It is clear that the number of sensors follows this trend, thus inducing large sensor networks. It is insightful to make the comparison with the huge number of processors of modern supercomputers. In such large networks, the problem of node faults necessarily arises, with faults often happening in clusters. The tolerance to faults, and especially cluster faults, is thus critical. Furthermore, thanks to its advantageous topological properties, the torus interconnection network has been adopted by the major supercomputer manufacturers of the recent years, thus proving its applicability. Acknowledging and embracing these two technological and industrial aspects, we propose in this paper a node-to-node routing algorithm in an n -dimensional k -ary torus that is tolerant to faults. Not only is this algorithm tolerant to faulty nodes, it also tolerates faulty node clusters. The described algorithm selects a fault-free path of length at most n ( 2 k + ⌊ k / 2 ⌋ − 2 ) with an O ( n 2 k 2 | F | ) worst-case time complexity with F the set of faulty nodes induced by the faulty clusters. Full article
(This article belongs to the Special Issue Quality of Service in Sensor Networks)
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13 pages, 524 KiB  
Article
Automatic Detection of Changes in Signal Strength Characteristics in a Wi-Fi Network for an Indoor Localisation System
by Marcin Luckner and Rafał Górak
Sensors 2020, 20(7), 1828; https://doi.org/10.3390/s20071828 - 25 Mar 2020
Viewed by 1611
Abstract
This paper faces the issue of changing the received signal strength (RSS) from an observed access point (AP). Such a change can reduce the Quality of Service (QoS) of a Wi-Fi-based Indoor Localisation System. We have proposed a dynamic system based on an [...] Read more.
This paper faces the issue of changing the received signal strength (RSS) from an observed access point (AP). Such a change can reduce the Quality of Service (QoS) of a Wi-Fi-based Indoor Localisation System. We have proposed a dynamic system based on an estimator of RSS using the readings from other APs. Using an optimal threshold, the algorithm recognises an AP that has changed its characteristics. Next, the system rebuilds the localisation model excluding the changed AP to keep QoS. For the tests, we simulated a change in the analysed Wi-Fi network by replacing the measured RSS by an RSS obtained from the same AP model that lies in another place inside the same multi-floor building. The algorithm was evaluated in simulations of an isolated single-floor building, a single-floor building and a multi-floor building. The mean increase of the localisation error obtained by the system varies from 0.25 to 0.61 m after the RSS changes, whereas the error increase without using the system is between 1.21 and 1.98 m. The system can be applied to any service based on a Wi-Fi network for various kinds of changes like a reconfiguration of the network, a local malfunction or ageing of the infrastructure. Full article
(This article belongs to the Special Issue Quality of Service in Sensor Networks)
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