Article
Chemistry, Analytical
Eduardo Hidalgo-Fort, Juan Antonio Gomez-Galan, Ramon Gonzalez-Carvajal, Pedro Sanchez-Cardenas, Carlos Clemente-Maya
Summary: We present an industrial wireless monitoring and control system designed to improve electro-refinery performance by using predictive maintenance. The system supports energy-harvesting devices through smart sensing and network management. It is self-powered from bus bars and features wireless communication and easy access to information and alarms. Field validation shows that the system has improved operational performance in detecting short circuits by 30% (reaching 97%) compared to traditional methods, thanks to the deployment of a neural network.
Article
Computer Science, Information Systems
Xiangdong Jia, Shengnan Cao, Mangang Xie
Summary: This study proposes a novel status update information system with two sensors and one destination, taking into account wireless energy harvesting diversity, status update transmission diversity, and HARQ-CC diversity. By developing a sensor energy harvesting model and deriving the average age of information for the dual-sensor system, it is shown that the proposed system outperforms traditional single-sensor systems in terms of energy harvesting efficiency and average age of information.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2021)
Article
Automation & Control Systems
Zheng Jun Chew, Tingwen Ruan, Meiling Zhu
Summary: This article introduces a method for batteryless energy harvesting powered sensor nodes to join a network with less energy wastage using duty-cycled network joining and appropriate capacitor size. This approach reduces energy wastage of nodes waiting to join the network and increases the probability of successful network joining process completion.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Chemistry, Analytical
Alba Paez-Montoro, Mario Garcia-Valderas, Emilio Olias-Ruiz, Celia Lopez-Ongil
Summary: The wearable device market is growing, with smart wearables being widely used in healthcare and sports. The increase in functionalities leads to higher power consumption and more frequent battery recharges. Energy harvesting is a good option to address this issue.
Article
Automation & Control Systems
Kawsar Ali, Daniel J. Rogers
Summary: Deploying energy harvesting-based wireless sensor nodes in challenging environments often means lack of control over node placement and orientation. This article introduces a smart WSN that operates independently of placement and orientation, sharing energy and information among cube faces to maximize energy harvesting and signal transmission.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2021)
Article
Energy & Fuels
Andrew Shore, John Roller, Jennifer Bergeson, Behrang H. Hamadani
Summary: Research focuses on self-harvesting energy for IoT devices, with PV cells being an intuitive choice for indoor ambient light. Charging times are shortest using GaInP and GaAs mini-modules under LED lighting, indicating their efficiency in powering devices.
ENERGY SCIENCE & ENGINEERING
(2021)
Article
Computer Science, Information Systems
Xin Li, Li Teng, Hong Tang, Jingying Chen, Haoyu Wang, Yu Liu, Minfan Fu, Junrui Liang
Summary: This article introduces a vibration-powered sensing node (ViPSN) that utilizes a piezoelectric transducer for developing and utilizing ambient vibration energy. The roles and relations of six necessary modules are discussed, with a focus on an enhanced EMU for more comprehensive energy storage indicating signals. The ViPSN is able to effectively harvest and utilize various forms of vibration energy, demonstrating long lifetime and good Quality of Service (QoS) under different vibration scenarios.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Kunyi Chen, Fatma Benkhelifa, Hong Gao, Julie A. McCann, Jianzhong Li
Summary: This work considers the AoI minimization scheduling problem in multihop energy harvesting wireless sensor networks. An energy-adaptive distributed algorithm is proposed and theoretical bounds are derived. Experimental results show that the algorithm outperforms other schemes in all scenarios.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Hanan Al-Tous, Imad Barhumi
Summary: This paper investigates the optimal control policy based on minimum-delay transmission in a multi-hop energy harvesting wireless sensor network using reinforcement learning.
IEEE SENSORS JOURNAL
(2021)
Review
Computer Science, Information Systems
Zhenbo Yuan, Yongqi Ge, Jiayuan Wei, Shuhua Yuan, Rui Liu, Xian Mo
Summary: Energy prediction is crucial for energy-harvesting wireless sensors (EHWS) to regulate duty cycles, achieve energy neutrality, and extend lifespan. This study identifies future research directions and addresses challenges in energy prediction. A systematic mapping study approach is used to analyze relevant literature. The findings provide insights into research prospects, existing challenges, and limitations of prediction methods, contributing to the advancement of energy-harvesting wireless sensor networks.
Article
Engineering, Electrical & Electronic
Akash Agarwal, Aditya K. Jagannatham
Summary: This paper investigates a simultaneous wireless information and power transfer (SWIPT)-assisted cognitive overlay-based MIMO downlink cooperative relaying system, where a secondary network consisting of an energy harvesting base station and wireless-powered secondary users shares the spectrum of a primary network. Closed-form expressions for the end-to-end outage probability are derived considering Rayleigh fading channel links, sensitivity and saturation impairments at the energy harvesting nodes. The impact of energy harvesting impairments and finite battery on the system performance are also analyzed.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Computer Science, Information Systems
Bin Zhao, Xiaohui Zhao
Summary: This paper proposes a wireless sensor network composed of several local subnetworks with amplified forwarding relay and specially designed working time cycle. The authors use deep reinforcement learning to develop resource allocation policies for maximizing throughput. Simulation results show that the proposed policies can significantly improve network performance.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Shitij Avlani, Dong-Hyun Seo, Baibhab Chatterjee, Shreyas Sen
Summary: This research focuses on the challenges in designing energy-harvested sensor nodes and proposes a perpetually powered sensor node that utilizes energy-information dynamic co-optimization (EICO) to achieve long-range communication and minimize information loss.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Chemistry, Physical
Ruonan Li, Xuelian Wei, Yapeng Shi, Zhihao Yuan, Baocheng Wang, Jiahui Xu, Longfei Wang, Zhiyi Wu, Zhong Lin Wang
Summary: In this study, a low-grade heat energy harvesting system based on shape memory alloy is proposed, which utilizes a hybrid triboelectric-electromagnetic nanogenerator to collect waste heat. The working principle of deformation and rotation of the shape memory alloy is investigated through infrared detection, temperature simulation, and force analysis. The experimental results demonstrate excellent output performance of the system, enabling it to power small electronic devices and self-powered wireless sensor networks.
Article
Chemistry, Analytical
Lalbabu Prashad, Harish Chandra Mohanta, Heba G. Mohamed
Summary: A simple circular patch antenna with a partial ground plane is proposed for RF-energy harvesting at the ISM (2.45 GHz) band. The antenna resonates at 2.45 GHz with an input impedance of 50 ohms and a gain of 2.38 dBi. An L-section matching circuit with a voltage doubler is proposed to achieve excellent RF-to-DC transformation efficiency at low power input. The fabricated rectenna exhibits good characteristics in terms of return loss and realized gain, with 52% RF-to-DC transformation efficiency at 0 dBm power input. This research is important for powering low-power sensor nodes in wireless sensor applications.
Article
Computer Science, Information Systems
Gabriel Germino Martins de Jesus, Richard Demo Souza, Carlos Montez, Arliones Hoeller
Summary: LoRaWAN is a network protocol for supporting low-power wide-area network applications in the Internet of Things, using LoRa modulation scheme for long-range communication. The Things Network's ADR algorithm dynamically assigns transmission parameters, but may assign inadequate parameters when link quality estimate is inaccurate.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
M. M. Amoroso, R. Moraes, G. M. de Araujo, V. S. Rodrigues
Summary: The concept of Smart Grid is being implemented with acceleration due to the reduction of electronic costs, evolution of IoT, and necessity for efficient solutions for electric vehicles and distributed generation. Main projects start with Smart Homes implementation, facing technical and economic barriers.
IEEE LATIN AMERICA TRANSACTIONS
(2021)
Article
Engineering, Electrical & Electronic
Rene Oliveira, Carlos Montez, Azzedine Boukerche, Michelle S. Wangham
Summary: This paper presents a consensus-based solution called AddP-CACC for vehicle platoon driving, which dynamically reconfigures the controller and automatically compensates for outdated information caused by network losses and delays. Simulation results demonstrate the robustness and performance of the proposed solution in various scenarios with interference and fading conditions.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Computer Science, Information Systems
Guilherme Pereira, Suelen Laurindo, Gerson Budke, Carlos Montez, Ricardo Moraes
Summary: This paper assesses the feasibility of implementing the LLDN operation mode in low-cost commercial nodes and evaluates their ability to meet timing and reliability requirements for industrial applications.
Proceedings Paper
Computer Science, Interdisciplinary Applications
Vitor Vasconcelos, Erico Leao, Natanael Ribeiro, Francisco Vasques, Carlos Montez
Summary: This paper introduces a wireless sensor network based on Long-Range radio modulation (LoRa) using the LoRaWAN protocol as the medium access layer. It proposes a multi-hop LoRaWAN wide-scale wireless sensor network based on a scheduled cluster-tree topology. Simulation results show that this topology can expand network coverage and improve communication and energy consumption performances.
2022 IEEE 20TH INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN)
(2022)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Miguel Lino, Carlos Montez, Erico Leao, Ricardo Lira
Summary: This paper proposes an architecture for large-scale monitoring applications and evaluates the impact of different data clustering techniques on network performance and the creation of priority node groups.
2022 IEEE 20TH INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN)
(2022)
Review
Computer Science, Information Systems
Juan David Arias Correa, Alex Sandro Roschildt Pinto, Carlos Montez
Summary: This article presents a systematic review of literature on lossy data compression algorithms for reducing the data detected by IoT devices. Lossy algorithms have good compression ratio, preserve data quality, and minimize compression errors. A taxonomy was proposed based on the review results.
INTERNET OF THINGS
(2022)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Vagner Rodrigues, Ricardo Moraes, Marcelo Berejuck
Summary: The paper analyzes the legal and technical aspects of using a binomial tariff for Brazilian energy consumers in group B. It was found that it is legally possible to use this form of billing under current legislation, and technically feasible to measure using information from installed circuit breakers.
2021 IST-AFRICA CONFERENCE (IST-AFRICA)
(2021)
Proceedings Paper
Automation & Control Systems
Miguel Lino Ferreira Neto, Carlos Montez, Erico Leao, Aujor Tadeu Cavalca Andrade
Summary: Wireless Sensor Networks (WSNs) are fundamental for implementing IoT solutions and supporting Industry 4.0 applications, with characteristics such as high scalability, synchronized communication, and low power consumption. The network topology plays a key role in the design of WSNs, and utilizing a Bottom-Up Formation mechanism can reduce communication delays and improve success rates.
IECON 2021 - 47TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY
(2021)
Article
Computer Science, Information Systems
Suelen Laurindo, Ricardo Moraes, Carlos Montez, Francisco Vasques
Summary: This paper discusses the use of network coding algorithms combined with appropriate retransmission techniques to enhance the communication reliability of WSN. The assessment revealed that, when using the ORST technique, retransmission without network coding is the preferred solution.
Proceedings Paper
Automation & Control Systems
Suelen Laurindo, Ricardo Moraes, Carlos Montez, Francisco Vasque
2020 25TH IEEE INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION (ETFA)
(2020)