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Special Issue "Renewable Energy Systems Based on Internet of Things"

A special issue of Energies (ISSN 1996-1073).

Deadline for manuscript submissions: closed (10 October 2019) | Viewed by 5189

Special Issue Editors

Dr. Djallel Eddine Boubiche
E-Mail Website
Guest Editor
Computer Sciences Department, University of Batna 2, Batna, Algeria
Interests: wireless networks; embedded system; intelligent multi-agent systems; distributed computing; energy efficiency
Special Issues, Collections and Topics in MDPI journals
Prof. George Dekoulis
E-Mail Website
Guest Editor
Aeronautical and Space Engineering Department, Aerospace Engineering Institute (AEI), Nicosia, None 2035, Cyprus
Interests: aerospace engineering; energy; power; industrial applications; computer science and engineering

Special Issue Information

Dear Colleagues,

Researchers and the industrial communities have been increasingly focusing on the renewable energy field in recent decades, therefore integrating the variety of optimization technologies mainly based on improvements through mechanical engineering and physics. However, new renewable energy strategies inspired by other areas of research are being implemented due to the continuing need for energy efficiency, productivity, and profitability. The combination of sensors and data analysis can optimize the management of the renewable energy resources, due to the use of the Internet of Things (IoT), which has been recently proven.

Indeed, the energy efficiency can be optimized using IoT-based renewable energy systems which facilitate the communication between renewable energy devices. For example, the energy regeneration source can be switched from solar to wind turbine on a particularly cloudy day with a lot of wind. On the other hand, the IoT analytics significantly influences the renewable energies. As an example, data extraction from the solar panels allows the maintenance process to be sped up and the downtime to be reduced.

The aim of this Special Issue (SI) is to address both innovative developments resorting to the state-of-the-art technologies and ideas in areas related to the application of Internet of Things to renewable energy optimization. This SI seeks the latest findings from research and ongoing projects relevant to IoT smart applications for energy conservation.

Selected authors from the IAPE’19 conference will be invited to submit their papers to the SI. We also strongly encourage researchers that are unable to participate in the conference to submit articles to the SI.

Dr. Djallel Eddine Boubiche
Prof. George Dekoulis
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. 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 2200 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

  • IoT technologies for renewable energy
  • smart cities
  • intelligent energy networks
  • convergence of the smart grid with the Internet of Things
  • Internet of Things for the energy industry
  • IoT application for smart energy
  • big data analysis and mining for renewable energy

Published Papers (2 papers)

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Research

Article
An Energy-Efficient and Secure Routing Protocol for Intrusion Avoidance in IoT-Based WSN
Energies 2019, 12(21), 4174; https://doi.org/10.3390/en12214174 - 01 Nov 2019
Cited by 39 | Viewed by 1615
Abstract
Due to the advancement of information and communication technologies, the use of Internet of Things (IoT) devices has increased exponentially. In the development of IoT, wireless sensor networks (WSNs) perform a vital part and comprises of low-cost smart devices for information gathering. However, [...] Read more.
Due to the advancement of information and communication technologies, the use of Internet of Things (IoT) devices has increased exponentially. In the development of IoT, wireless sensor networks (WSNs) perform a vital part and comprises of low-cost smart devices for information gathering. However, such smart devices have constraints in terms of computation, processing, memory and energy resources. Along with such constraints, one of the fundamental challenges for WSN is to achieve reliability with the security of transmitted data in a vulnerable environment against malicious nodes. This paper aims to develop an energy-efficient and secure routing protocol (ESR) for intrusion avoidance in IoT based on WSN to increase the network period and data trustworthiness. Firstly, the proposed protocol creates different energy-efficient clusters based on the intrinsic qualities of nodes. Secondly, based on the (k,n) threshold-based Shamir secret sharing scheme, the reliability and security of the sensory information among the base station (BS) and cluster head are achieved. The proposed security scheme presents a light-weight solution to cope with intrusions generated by malicious nodes. The experimental results using the network simulator (NS-2) demonstrate that the proposed routing protocol achieved improvement in terms of network lifetime as 37%, average end-to-end delay as 24%, packet delivery ratio as 30%, average communication cost as 29%, network overhead as 28% and the frequency of route re-discoveries as 38% when compared with the existing work under dynamic network topologies. Full article
(This article belongs to the Special Issue Renewable Energy Systems Based on Internet of Things)
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Article
Design and Implementation of an IoT System for Smart Energy Consumption and Smart Irrigation in Tunnel Farming
Energies 2018, 11(12), 3427; https://doi.org/10.3390/en11123427 - 06 Dec 2018
Cited by 32 | Viewed by 3274
Abstract
Efficient and cost effective ways of irrigation have emerged as the need of the hour due to limited sweet water resources, especially the countries that are seriously hit by a lack of sweet water reservoirs. The majority of the water is wasted due [...] Read more.
Efficient and cost effective ways of irrigation have emerged as the need of the hour due to limited sweet water resources, especially the countries that are seriously hit by a lack of sweet water reservoirs. The majority of the water is wasted due to inefficient ways of watering plants. In this paper, we propose an intelligent approach for efficient plant irrigation that has a database of daily water needs of a type of plant and decides the amount of water for a plant type on the basis of the current moisture in soil, humidity, and time of the day. This approach not only saves sweet water by efficient utilization, but also supports smart consumption of energy. Our approach employs IoT and a set of sensors to efficiently record plant data and their watering needs and the approach is implemented with a mobile phone application interface that is used to continuously monitor and control the efficient watering system. The results of this study are easy to reproduce as the sensors used are cheap and easy to access. The study discusses in this paper is experimented on small area (such as tunnel farm) but the results of the experiments show that the used approach can be generalized and can be used for large size fields for efficient irrigation. The results of the experiments also outperform the manual approach and the similar approaches for sensor based irrigation systems. Full article
(This article belongs to the Special Issue Renewable Energy Systems Based on Internet of Things)
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