Recent Advances in Smart and Pervasive Internet of Things

A special issue of Telecom (ISSN 2673-4001).

Deadline for manuscript submissions: closed (30 September 2021) | Viewed by 12149

Special Issue Editors


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Guest Editor
DIIES Department, University Mediterranea of Reggio Calabria, 89100 Reggio Calabria, Italy
Interests: information-centric networking; vehicular ad hoc networks; mobile ad hoc networks; Internet of Things; edge computing; software-defined networking
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Guest Editor
Department of Electrical and Computer Engineering, COMSATS University Islamabad, Islamabad 45550, Pakistan
Interests: I; IoT 2; ITS 3; computing
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Guest Editor
Department of Computing and Mathematics, Manchester Metropolitan University, Manchester M15 6BH, UK
Interests: Internet of Things; network security; cloud computing; network function virtualization; wireless networks; 5G
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Guest Editor
Department of Mathematics and Computer Science, University of Ghardaia, Ghardaia, Algeria
Interests: trust and risk management; secure multihop communications; vehicular networks; named data networking (NDN); UAVs
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Special Issue Information

Dear Colleagues,

Internet of Things (IoT) applications and services are more and more becoming part of our daily life. Smart homes and building automation, smart transportation, e-health, and smart grid are just a few examples of application domains enabled by IoT that will improve our comfort, safety, and productivity, while also reducing the resource consumption.

However, IoT is also a challenging network environment, where billions of heterogeneous devices, sometimes resource-constrained like sensors or actuators, exchange different information and services.

Multiple standardization efforts were carried out by the Internet Engineering Task Force (IETF) working groups (e.g., 6LoWPAN, ROLL), and multiple proprietary systems were also deployed. However, novel protocols and solutions are still required that cope with the rising challenges of IoT, such as scalability, interoperability, mobility, reliability, security, and privacy.

In this context, revolutionary networking architectures, such as information-centric networking (ICN) and software-defined networking (SDN), and novel paradigms such as Edge Computing and Blockchain have been recently considered as backbones for IoT applications.

This Special Issue aims to present a collection of papers discussing novel architectures and paradigms, protocols, and practical implementations for smart and pervasive IoT.

Topics of interests include but are not limited to the following:

  • Smart network architectures and protocols for IoT;
  • Social IoTs;
  • Artificial Intelligence and machine learning for IoT Systems;
  • Information-centric networking for IoT;
  • Software-defined networking for IoT;
  • Edge and Fog computing solutions;
  • Cloud computing platforms;
  • Energy-efficient protocols for sensor and actuator networks;
  • Smart home, smart building, and smart city applications and frameworks;
  • Intelligent transportation systems;
  • Security, privacy, and trustworthiness in IoT;
  • Standardization efforts;
  • Mobility support for IoT;
  • Caching strategies for IoT Contents;
  • Routing and transport protocols for IoT.

Dr. Marica Amadeo
Dr. Muhammad Awais Javed
Dr. Ali Kashif Bashir
Dr. Chaker Abdelaziz Kerrache
Guest Editors

  •  The Article Processing Charge (APC) for all submissions to this special issue will be waived.

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Keywords

  • Internet of Things
  • Edge computing
  • Cloud computing
  • Social Internet of Things
  • Software-defined networking
  • Information-centric networking
  • Smart environments
  • Sensor and actuator networks
  • Artificial Intelligence and machine learning

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Published Papers (3 papers)

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Research

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12 pages, 405 KiB  
Article
A LoRa-Based Linear Sensor Network for Location Data in Underground Mining
by Philip Branch, Binghao Li and Kai Zhao
Telecom 2020, 1(2), 68-79; https://doi.org/10.3390/telecom1020006 - 6 Jul 2020
Cited by 18 | Viewed by 4135
Abstract
In this paper, we describe a LoRa (from “Long Range”)-based, linear sensor network we have developed for transmitting location information of personnel and equipment in an underground mine. The system is intended to be used during emergencies when existing communications infrastructure has failed. [...] Read more.
In this paper, we describe a LoRa (from “Long Range”)-based, linear sensor network we have developed for transmitting location information of personnel and equipment in an underground mine. The system is intended to be used during emergencies when existing communications infrastructure has failed. Linear networks comprise a sequence of relays that forward data to a common destination, the headend. Relays forward location information transmitted from tags carried by personnel or equipment. Relays will usually be put in place as investigators or rescuers enter the mine. LoRa is used both by the tags to communicate to the relays and by the relays to forward messages to the headend. We have implemented and tested this system, and have carried out simulations and analyses to determine its scalability, reliability and fairness. The need for robustness and reliability has led us to use flooding rather than unicast communication. We also use message sequence numbers and time-to-live fields to prevent broadcast storms. Contention is managed using a simplified Carrier Sense Multiple Access (CSMA) scheme. We also address fairness. When the network is under load messages may be dropped by relays making messages generated more hops from the headend more likely to be dropped than messages nearer the headend. We explore the relationship between unfairness, traffic load and number of relays. We also observe that a network of larger numbers of lightly loaded relays performs more effectively than smaller numbers of heavily loaded relays. Full article
(This article belongs to the Special Issue Recent Advances in Smart and Pervasive Internet of Things)
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16 pages, 1315 KiB  
Article
Low-Computational Extended Orthogonal Matched Filter Structure for Multiuser Detection
by Kento Takabayashi, Shuhei Harada, Takumi Kobayashi, Katsumi Sakakibara and Ryuji Kohno
Telecom 2020, 1(1), 32-47; https://doi.org/10.3390/telecom1010004 - 11 Jun 2020
Cited by 1 | Viewed by 2775
Abstract
This research provides a novel extended orthogonal matched filter (EOMF) structure that supports multiuser detection. In addition, this structure is designed to suppress increases in computational complexity and circuit scale. In coming years, the number of Internet of Things (IoT) applications that use [...] Read more.
This research provides a novel extended orthogonal matched filter (EOMF) structure that supports multiuser detection. In addition, this structure is designed to suppress increases in computational complexity and circuit scale. In coming years, the number of Internet of Things (IoT) applications that use wireless ad hoc networks is expected to increase. To realize a highly reliable wireless ad hoc network, it is essential to introduce a method for cancelling the interference from other users. This research adopts a method based on code division multiple access (CDMA). However, a CDMA-based method has difficulty with deteriorating performance due to the near-far problem and the increase in the amount of interference as the number of users increases. Another problem is that the spreading sequence of each user is unknown in a wireless ad hoc network. The EOMF effectively removes interference while solving the above problems by combining an OMF and an adaptive array antenna. In this research, an EOMF structure with multiuser detection and lower computational complexity than the conventional EOMF is proposed. By the derived formulas and numerical examples, the proposed structure reduces the computational complexity by approximately 75% compared to the conventional EOMF and obtains sufficient bit error ratio (BER) performance. Full article
(This article belongs to the Special Issue Recent Advances in Smart and Pervasive Internet of Things)
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Review

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18 pages, 618 KiB  
Review
A Literature Review on Caching Transient Contents in Vehicular Named Data Networking
by Marica Amadeo
Telecom 2021, 2(1), 75-92; https://doi.org/10.3390/telecom2010006 - 9 Feb 2021
Cited by 9 | Viewed by 3997
Abstract
Vehicular Named Data Networking (VNDN) is a revolutionary information-centric architecture specifically conceived for vehicular networks and characterized by name-based forwarding and in-network caching. So far, a variety of caching schemes have been proposed for VNDN that work in presence of static Data packets, [...] Read more.
Vehicular Named Data Networking (VNDN) is a revolutionary information-centric architecture specifically conceived for vehicular networks and characterized by name-based forwarding and in-network caching. So far, a variety of caching schemes have been proposed for VNDN that work in presence of static Data packets, like traditional Internet contents. However, with the advent of Internet of Things (IoT) and Internet of Vehicles (IoV) applications, large sets of vehicular contents are expected to be transient, i.e., they are characterized by a limited lifetime and become invalid after the latter expires. This is the case of information related to road traffic or parking lot availability, which can change after a few minutes—or even after a few seconds—it has been generated at the source. The transiency of contents may highly influence the network performance, including the gain of in-network caching. Therefore, in this paper, we consider the dissemination of transient contents in vehicular networks and its effects on VNDN caching. By providing a detailed review of related work, we identify the main challenges and objectives when caching transient contents, e.g., to avoid cache inconsistency, to minimize the Age of Information (AoI) and the retrieval latency, and the main strategies to fulfill them. We scan the existing caching and replacement policies specifically designed for transient contents in VNDN and, finally, we outline interesting research perspectives. Full article
(This article belongs to the Special Issue Recent Advances in Smart and Pervasive Internet of Things)
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