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Energy Efficient IoT for Sustainability
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Energy Efficient IoT for Sustainability

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

Deadline for manuscript submissions: closed (1 March 2021) | Viewed by 8512

Special Issue Editors

Prof. Dr. Yujin Lim

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Guest Editor
Department of IT Engineering, Sookmyung Women’s University, Seoul 04310, Republic of Korea
Interests: multi-agent system; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Hideyuki Takahashi

E-Mail Website
Guest Editor
Department of Data Science, Faculty of Informatics, Tohoku Gakuin University, Miyagi 984-8588, Japan
Interests: Internet of Things; ubiquitous computing; multi-agent system
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Gianluigi Ferrari

E-Mail Website
Guest Editor
Department of Engineering and Architecture, University of Parma, Parco Area delle Scienze, 181/A, 43124 Parma, Italy
Interests: Internet of Things; networking and communication; signal processing; smart systems
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Rossana M. C. Andrade

E-Mail Website
Guest Editor
Department of Computing, Federal University of Ceará, 2853 – Benfica, Fortaleza-CE, CEP 60020-181, Brazil
Interests: mobile computing; ubiquitous computing; IoT; cloud computing; wireless sensor network

Special Issue Information

Dear Colleagues,

Since the Internet of Things (IoT) enables measuring and controlling previously unconnected things remotely, it can facilitate projects to create a more sustainable world. According to the “IoT Guidelines for Sustainability” report, 84% of IoT deployments are currently addressing, or have the potential to address, the Sustainable Development Goals (SDGs) as defined by the United Nations, which include the fight against climate change, industry innovation, good health, and wellbeing.
One of the significant challenges to successfully fulfilling these projects is increasing the energy efficiency of the IoT system. The lifetimes of sensor nodes which measure and control the environments have to be extended by controlling power consumption and energy harvesting. The communication networks delivering sensed data and data centers storing and analyzing collected data should decrease energy consumption and the amount of CO2 emissions to reduce heat dissipation and environmental pollution.
This Special Issue solicits original research and review articles that identify the main research challenges and possible solutions for energy-efficient IoT systems.

Prof. Dr. Yujin Lim
Prof. Dr. Hideyuki Takahashi
Prof. Dr. Gianluigi Ferrari
Prof. Dr. Rossana M. C. Andrade
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

  • Sustainable IoT projects and applications
  • Energy-efficient data centers
  • Energy-efficient sensor device operation
  • Energy harvesting for sensor devices
  • Energy-efficient network design
  • Energy-efficient network resource management

Published Papers (2 papers)

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Research

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22 pages, 1625 KiB  
Article
Energy-Optimal Latency-Constrained Application Offloading in Mobile-Edge Computing
by Xiaohui Gu, Chen Ji and Guoan Zhang
Sensors 2020, 20(11), 3064; https://doi.org/10.3390/s20113064 - 28 May 2020
Cited by 14 | Viewed by 2819
Abstract
Mobile-edge computation offloading (MECO) is a promising emerging technology for battery savings in mobile devices (MD) and/or in latency reduction in the execution of applications by (either total or partial) offloading highly demanding applications from MDs to nearby servers such as base stations. [...] Read more.
Mobile-edge computation offloading (MECO) is a promising emerging technology for battery savings in mobile devices (MD) and/or in latency reduction in the execution of applications by (either total or partial) offloading highly demanding applications from MDs to nearby servers such as base stations. In this paper, we provide an offloading strategy for the joint optimization of the communication and computational resources by considering the blue trade-off between energy consumption and latency. The strategy is formulated as the solution to an optimization problem that minimizes the total energy consumption while satisfying the execution delay limit (or deadline). In the solution, the optimal transmission power and rate and the optimal fraction of the task to be offloaded are analytically derived to meet the optimization objective. We further establish the conditions under which the binary decisions (full-offloading and no offloading) are optimal. We also explore how such system parameters as the latency constraint, task complexity, and local computing power affect the offloading strategy. Finally, the simulation results demonstrate the behavior of the proposed strategy and verify its energy efficiency. Full article
(This article belongs to the Special Issue Energy Efficient IoT for Sustainability)
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Review

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53 pages, 1634 KiB  
Review
A Comprehensive Review on Energy Harvesting Integration in IoT Systems from MAC Layer Perspective: Challenges and Opportunities
by Golshan Famitafreshi, M. Shahwaiz Afaqui and Joan Melià-Seguí
Sensors 2021, 21(9), 3097; https://doi.org/10.3390/s21093097 - 29 Apr 2021
Cited by 15 | Viewed by 4127
Abstract
The Internet of Things (IoT) is revolutionizing technology in a wide variety of areas, from smart healthcare to smart transportation. Due to the increasing trend in the number of IoT devices and their different levels of energy requirements, one of the significant concerns [...] Read more.
The Internet of Things (IoT) is revolutionizing technology in a wide variety of areas, from smart healthcare to smart transportation. Due to the increasing trend in the number of IoT devices and their different levels of energy requirements, one of the significant concerns in IoT implementations is powering up the IoT devices with conventional limited lifetime batteries. One efficient solution to prolong the lifespan of these implementations is to integrate energy harvesting technologies into IoT systems. However, due to the characteristics of the energy harvesting technologies and the different energy requirements of the IoT systems, this integration is a challenging issue. Since Medium Access Control (MAC) layer operations are the most energy-consuming processes in wireless communications, they have undergone different modifications and enhancements in the literature to address this issue. Despite the essential role of the MAC layer to efficiently optimize the energy consumption in IoT systems, there is a gap in the literature to systematically understand the possible MAC layer improvements allowing energy harvesting integration. In this survey paper, we provide a unified framework for different wireless technologies to measure their energy consumption from a MAC operation-based perspective, returning the essential information to select the suitable energy harvesters for different communication technologies within IoT systems. Our analyses show that only 23% of the presented protocols in the literature fulfill Energy Neutral Operation (ENO) condition. Moreover, 48% of them are based on the hybrid approaches, which shows its capability to be adapted to energy harvesting. We expect this survey paper to lead researchers in academia and industry to understand the current state-of-the-art of energy harvesting MAC protocols for IoT and improve the early adoption of these protocols in IoT systems. Full article
(This article belongs to the Special Issue Energy Efficient IoT for Sustainability)
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