Literature DB >> 33946778

A Comprehensive Review on Energy Harvesting Integration in IoT Systems from MAC Layer Perspective: Challenges and Opportunities.

Golshan Famitafreshi1, M Shahwaiz Afaqui1, Joan Melià-Seguí1,2.   

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 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.

Entities:  

Keywords:  Internet of Things; MAC layer operations; energy harvesting MAC protocols; energy models; energy neutral operation; wireless communication technologies

Year:  2021        PMID: 33946778     DOI: 10.3390/s21093097

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  6 in total

1.  Recalibrating global data center energy-use estimates.

Authors:  Eric Masanet; Arman Shehabi; Nuoa Lei; Sarah Smith; Jonathan Koomey
Journal:  Science       Date:  2020-02-28       Impact factor: 47.728

2.  Cooperative energy harvesting-adaptive MAC protocol for WBANs.

Authors:  Volker Esteves; Angelos Antonopoulos; Elli Kartsakli; Manel Puig-Vidal; Pere Miribel-Català; Christos Verikoukis
Journal:  Sensors (Basel)       Date:  2015-05-28       Impact factor: 3.576

Review 3.  Bluetooth Low Energy Mesh Networks: A Survey.

Authors:  Seyed Mahdi Darroudi; Carles Gomez
Journal:  Sensors (Basel)       Date:  2017-06-22       Impact factor: 3.576

4.  Learning-Directed Dynamic Voltage and Frequency Scaling Scheme with Adjustable Performance for Single-Core and Multi-Core Embedded and Mobile Systems.

Authors:  Yen-Lin Chen; Ming-Feng Chang; Chao-Wei Yu; Xiu-Zhi Chen; Wen-Yew Liang
Journal:  Sensors (Basel)       Date:  2018-09-12       Impact factor: 3.576

5.  Slotted ALOHA on LoRaWAN-Design, Analysis, and Deployment.

Authors:  Tommaso Polonelli; Davide Brunelli; Achille Marzocchi; Luca Benini
Journal:  Sensors (Basel)       Date:  2019-02-18       Impact factor: 3.576

6.  An Optimized Hidden Node Detection Paradigm for Improving the Coverage and Network Efficiency in Wireless Multimedia Sensor Networks.

Authors:  Adwan Alanazi; Khaled Elleithy
Journal:  Sensors (Basel)       Date:  2016-09-07       Impact factor: 3.576

  6 in total
  3 in total

1.  Enabling Energy Harvesting-Based Wi-Fi System for an e-Health Application: A MAC Layer Perspective.

Authors:  Golshan Famitafreshi; Muhammad Shahwaiz Afaqui; Joan Melià-Seguí
Journal:  Sensors (Basel)       Date:  2022-05-18       Impact factor: 3.847

2.  Modeling an Edge Computing Arithmetic Framework for IoT Environments.

Authors:  Pedro Juan Roig; Salvador Alcaraz; Katja Gilly; Cristina Bernad; Carlos Juiz
Journal:  Sensors (Basel)       Date:  2022-01-30       Impact factor: 3.576

3.  An Analytical Model for the Aggregate Throughput of IEEE 802.11ah Networks under the Restricted Access Window Mechanism.

Authors:  Stephanie M Soares; Marcelo M Carvalho
Journal:  Sensors (Basel)       Date:  2022-07-26       Impact factor: 3.847

  3 in total

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