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IoT and Smart Cities

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "G1: Smart Cities and Urban Management".

Deadline for manuscript submissions: closed (30 April 2023) | Viewed by 1697

Special Issue Editor


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Guest Editor
Department of Electrical and Electronic Engineering, University of Cagliari, Cagliari, Italy
Interests: IoT; smart cities; 5G, wireless sensor networks; coverage optimization; multimedia applications

Special Issue Information

Dear Colleagues,

Today, the IoT and Smart Cities continue to be highly regarded by both academia and industry, involving a wide range of stakeholders such as researchers, industrialists, hardware manufacturers, and related ICT services.

The areas of application of IoT and Smart Cities are also increasing, ranging from simple monitoring to the vehicular traffic, pollution, and people’s welfare fields.

The purpose of this Special Issue is to assess IoT and Smart Cities technology and characteristics and provide information on the challenges and future of Smart Cities with particular emphasis on their use from an Internet of Things perspective.

A wide range of documents will be considered that present innovative approaches to the state of the art, monitoring, and control of IoT and Smart Cities which allows a great variety of applications.

The topics of interest for publication include but are not limited to:

  • Connected public transport
  • Traffic monitoring and management
  • Water level/flood monitoring
  • Video surveillance and analytics
  • Connected streetlights
  • Weather monitoring
  • Air quality/pollution monitoring
  • Smart metering—water
  • Fire/smoke detection
  • Water quality monitoring 

Dr. Matteo Anedda
Guest Editor

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. Energies 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

  • smart mobility
  • traffic monitoring
  • vehicles tracking
  • people monitoring
  • air quality and pollution

Published Papers (1 paper)

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Research

21 pages, 1003 KiB  
Article
Energy-Efficient Raptor-like LDPC Coding Scheme Design and Implementation for IoT Communication Systems
by Jakub Hyla and Wojciech Sułek
Energies 2023, 16(12), 4697; https://doi.org/10.3390/en16124697 - 14 Jun 2023
Cited by 2 | Viewed by 1118
Abstract
The large number of inexpensive and energy-efficient terminals in IoT systems is one of the emerging elements of the recent landscape of information and communication technologies. IoT nodes are usually embedded systems with limited processing power devices and strict requirements on energy consumption. [...] Read more.
The large number of inexpensive and energy-efficient terminals in IoT systems is one of the emerging elements of the recent landscape of information and communication technologies. IoT nodes are usually embedded systems with limited processing power devices and strict requirements on energy consumption. In this paper, we consider the design and implementation of a part of the IoT communication uplink stack, namely the error correction coding scheme, for energy-efficient operation. We examine how an efficient rate-adaptive coding scheme, namely the Raptor-like (RL) quasi-cyclic (QC) subclass of low-density parity check (LDPC) codes, can be applied. We present an encoding algorithm designed for an embedded CPU; a respective QC-RL-LDPC decoding scheme, based on typical LDPC iterative decoding; and a combined design procedure for construction of the QC-RL-LDPC parity check matrices. Next, we conduct experiments to explore the time intervals for implemented encoding and the goodput of the coding system with incremental redundancy. We provide the statistical results by combining the measured energy consumption of the encoder and the simulated radio transmitter energy consumption. We demonstrate the comparison of normalized energy consumption statistics with the fixed-rate LDPC coding case. As conclusion, we note that under an unknown channel corruption level, the short block QC-RL-LDPC code implemented in the CPU can achieve higher energy efficiency per information bit compared to a fixed-rate LDPC code. Future work will include an extension of the work to nonbinary QC-RL-LDPC coding design. Full article
(This article belongs to the Special Issue IoT and Smart Cities)
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