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Special Issue "Wireless Communication in Internet of Things"

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

Deadline for manuscript submissions: 15 December 2020.

Special Issue Editors

Dr. Hossein Fotouhi
Website SciProfiles
Guest Editor
School of Innovation, Design and Engineering, Mälardalen University, Västerås, Sweden
Interests: wireless networks; sensor networks; mobile computing; fog computing; Internet of Things; software defined networking; software defined mobile networks; wireless communication
Special Issues and Collections in MDPI journals
Dr. Maryam Vahabi
Website
Guest Editor
1. School of Innovation, Design and Engineering, Mälardalen University, Västerås, Sweden
2. ABB Corporate Research, Västerås, Sweden
Interests: wireless sensor networks; industrial automation; time-sensitive networks; cybersecurity
Prof. Dr. Reza Malekian
Website
Guest Editor
Malmö University, Malmo, Sweden
Interests: Internet of Things, Industrial Internet, Sensor networks, Sensors, Connectivity, transportation systems, vehicular networks, software defined networking
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

The Internet of Things (IoT) allows billions of smart devices to be connected to the Internet. Such smart devices are sensors and actuators that have processing, memory, storage, and communication capabilities. Wireless communication plays a major role in IoT systems, since deploying several sensors through wired connection is tedious, and for some applications it is impossible to establish wired communication. Due to the advances in radio technologies and wireless communication protocols, it is possible to employ wireless links for data communication in IoT systems. This Special Issue focuses on various topics related to wireless communication, and some are listed in the keywords.

Dr. Hossein Fotouhi
Dr. Maryam Vahabi
Prof. Reza Malekian
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. 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 2000 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

  • Sensor data storage, retrieval, and processing;
  • Network and system architectures and protocols;
  • IoT gateway platform architecture and services;
  • Localization and synchronization;
  • IoT reliability, adaptability, and dependability;
  • Security and privacy;
  • Machine learning and deep learning on sensor data;
  • Heterogeneous collaborative sensing, including human–robot sensor systems;
  • Low-power operation, energy harvesting, and energy management;
  • Mobile and pervasive systems with elements of networked sensing;
  • Transition strategies from existing networks to SDN/NFV;
  • Network softwarization for IoT;
  • Network slicing and slice management;
  • Mobility management;
  • QoS and QoE in softwarized infrastructures;
  • AI techniques to support network automation;
  • Big data analytics for managing softwarized networks;
  • Applications (e.g., intelligent transportation systems, healthcare, and energy management).

Published Papers (2 papers)

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Open AccessReview
Bluetooth Low Energy Mesh Networks: Survey of Communication and Security Protocols
Sensors 2020, 20(12), 3590; https://doi.org/10.3390/s20123590 - 25 Jun 2020
Abstract
Bluetooth Low Energy (BLE) Mesh Networks enable flexible and reliable communications for low-power Internet of Things (IoT) devices. Most BLE-based mesh protocols are implemented as overlays on top of the standard Bluetooth star topologies while using piconets and scatternets. Nonetheless, mesh topology support [...] Read more.
Bluetooth Low Energy (BLE) Mesh Networks enable flexible and reliable communications for low-power Internet of Things (IoT) devices. Most BLE-based mesh protocols are implemented as overlays on top of the standard Bluetooth star topologies while using piconets and scatternets. Nonetheless, mesh topology support has increased the vulnerability of BLE to security threats, since a larger number of devices can participate in a BLE Mesh network. To address these concerns, BLE version 5 enhanced existing BLE security features to deal with various authenticity, integrity, and confidentiality issues. However, there is still a lack of detailed studies related to these new security features. This survey examines the most recent BLE-based mesh network protocols and related security issues. In the first part, the latest BLE-based mesh communication protocols are discussed. The analysis shows that the implementation of BLE pure mesh protocols remains an open research issue. Moreover, there is a lack of auto-configuration mechanisms in order to support bootstrapping of BLE pure mesh networks. In the second part, recent BLE-related security issues and vulnerabilities are highlighted. Strong Intrusion Detection Systems (IDS) are essential for detecting security breaches in order to protect against zero-day exploits. Nonetheless, viable IDS solutions for BLE Mesh networks remain a nascent research area. Consequently, a comparative survey of IDS approaches for related low-power wireless protocols was used to map out potential approaches for enhancing IDS solutions for BLE Mesh networks. Full article
(This article belongs to the Special Issue Wireless Communication in Internet of Things)
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Open AccessLetter
Multipath Map Method for TDOA Based Indoor Reverse Positioning System with Improved Chan-Taylor Algorithm
Sensors 2020, 20(11), 3223; https://doi.org/10.3390/s20113223 - 05 Jun 2020
Abstract
We study wireless indoor positioning systems where multiple synchronized infrastructure devices simultaneously receive signals from an object of interest whose arrival times are measured. The positioning performance is degraded by unresolvable channel multipath and non-line-of-sight (NLOS) reflctions which cause a bias in the [...] Read more.
We study wireless indoor positioning systems where multiple synchronized infrastructure devices simultaneously receive signals from an object of interest whose arrival times are measured. The positioning performance is degraded by unresolvable channel multipath and non-line-of-sight (NLOS) reflctions which cause a bias in the time difference of arrival (TDOA) measurements. In order to reduce the negative effect of multi-path, a Multi-Path Map (MPM) method based on spatial domain modeling principle in the reverse positioning framework with good robustness is proposed. Meanwhile, an improved non-linear iterative algorithm with height component constrained which reduces the complexity is introduced to calculate the coordinates so that the performance of the MPM can be verified. By using the MPM measurements as pre-calibration information to compensate the TDOA observed value, the accuracy of the cooperative location based on a UWB device is 6.45 cm, which achieves 63% improvement than that of none MPM used. Full article
(This article belongs to the Special Issue Wireless Communication in Internet of Things)
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