scholarly journals Energy per Operation Optimization for Energy-Harvesting Wearable IoT Devices

Sensors ◽  
2020 ◽  
Vol 20 (3) ◽  
pp. 764 ◽  
Author(s):  
Jaehyun Park ◽  
Ganapati Bhat ◽  
Anish NK ◽  
Cemil S. Geyik ◽  
Umit Y. Ogras ◽  
...  
Keyword(s):  
Energy Harvesting ◽  
Gesture Recognition ◽  
Energy Budget ◽  
Optimization Technique ◽  
Optimization Approach ◽  
Activity Tracking ◽  
Battery Capacity ◽  
Self Powered ◽  
Iot Devices ◽  
Energy Harvesting Devices

Wearable internet of things (IoT) devices can enable a variety of biomedical applications, such as gesture recognition, health monitoring, and human activity tracking. Size and weight constraints limit the battery capacity, which leads to frequent charging requirements and user dissatisfaction. Minimizing the energy consumption not only alleviates this problem, but also paves the way for self-powered devices that operate on harvested energy. This paper considers an energy-optimal gesture recognition application that runs on energy-harvesting devices. We first formulate an optimization problem for maximizing the number of recognized gestures when energy budget and accuracy constraints are given. Next, we derive an analytical energy model from the power consumption measurements using a wearable IoT device prototype. Then, we prove that maximizing the number of recognized gestures is equivalent to minimizing the duration of gesture recognition. Finally, we utilize this result to construct an optimization technique that maximizes the number of gestures recognized under the energy budget constraints while satisfying the recognition accuracy requirements. Our extensive evaluations demonstrate that the proposed analytical model is valid for wearable IoT applications, and the optimization approach increases the number of recognized gestures by up to 2.4× compared to a manual optimization.

scholarly journals All-Printed Human Activity Monitoring and Energy Harvesting Device for Internet of Thing Applications

Sensors ◽  
2019 ◽  
Vol 19 (5) ◽  
pp. 1197 ◽  
Author(s):  
Shawkat Ali ◽  
Saleem Khan ◽  
Amine Bermak
Keyword(s):  
Energy Harvesting ◽  
Human Activity ◽  
Indium Tin Oxide ◽  
Activity Monitoring ◽  
The Self ◽  
Smart Device ◽  
Bridge Rectifier ◽  
Self Powered ◽  
Iot Devices ◽  
Human Activity Detection

A self-powered device for human activity monitoring and energy harvesting for Internet of Things (IoT) devices is proposed. The self-powered device utilizes flexible Nano-generators (NGs), flexible diodes and off-the-shelf capacitors. During footsteps the NGs generate an AC voltage then it is converted into DC using rectifiers and the DC power is stored in a capacitor for powering the IoT devices. Polydimethylsiloxane (PDMS) and zinc stannate (ZnSnO3) composite is utilized for the NG active layer, indium tin oxide (ITO) and aluminum (Al) are used as the bottom and top electrodes, respectively. Four diodes are fabricated on the bottom electrode of the NG and connected in bridge rectifier configuration. A generated voltage of 18 Vpeak was achieved with a human footstep. The self-powered smart device also showed excellent robustness and stable energy scavenger from human footsteps. As an application we demonstrate human activity detection and energy harvesting for IoT devices.

scholarly journals Paper-based triboelectric nanogenerators and their applications: a review

2021 ◽  
Vol 12 ◽  
pp. 151-171
Author(s):  
Jing Han ◽  
Nuo Xu ◽  
Yuchen Liang ◽  
Mei Ding ◽  
Junyi Zhai ◽  
...  
Keyword(s):  
Energy Harvesting ◽  
Three Dimensional ◽  
Human Machine Interaction ◽  
Practical Applications ◽  
Energy Devices ◽  
Paper Electronics ◽  
Facile Fabrication ◽  
Self Powered ◽  
Triboelectric Nanogenerators ◽  
Energy Harvesting Devices

The development of industry and of the Internet of Things (IoTs) have brought energy issues and huge challenges to the environment. The emergence of triboelectric nanogenerators (TENGs) has attracted wide attention due to their advantages, such as self-powering, lightweight, and facile fabrication. Similarly to paper and other fiber-based materials, which are biocompatible, biodegradable, environmentally friendly, and are everywhere in daily life, paper-based TENGs (P-TENGs) have shown great potential for various energy harvesting and interactive applications. Here, a detailed summary of P-TENGs with two-dimensional patterns and three-dimensional structures is reported. P-TENGs have the potential to be used in many practical applications, including self-powered sensing devices, human–machine interaction, electrochemistry, and highly efficient energy harvesting devices. This leads to a simple yet effective way for the next generation of energy devices and paper electronics.

scholarly journals A Hybrid Optimization Approach for the Enhancement of Efficiency of a Piezoelectric Energy Harvesting System

Electronics ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 75
Author(s):  
Mahidur R. Sarker ◽  
Ramizi Mohamed ◽  
Mohamad Hanif Md Saad ◽  
Muhammad Tahir ◽  
Aini Hussain ◽  
...  
Keyword(s):  
Energy Harvesting ◽  
Power Loss ◽  
Power Efficiency ◽  
Optimization Technique ◽  
Optimization Method ◽  
Hybrid Optimization ◽  
Piezoelectric Energy Harvesting ◽  
Optimization Approach ◽  
Piezoelectric Energy ◽  
Energy Harvesting System

This paper presents a hybrid optimization approach for the enhancement of performance of a piezoelectric energy harvesting system (PEHS). The existing PEHS shows substantial power loss during hardware implementation. To overcome the problem, this study proposes a hybrid optimization technique to improve the PEHS efficiency. In addition, the converter design as well as controller technique are enhanced and simulated in a MATLAB/Simulink platform. The controller technique of the proposed structure is connected to the converter prototype through the dSPACE DS1104 board (dSPACE, Paderborn, Germany). To enhance the proportional-integral voltage controller (PIVC) based on hybrid optimization method, a massive enhancement in reducing the output error is done in terms of power efficiency, power loss, rising time and settling time. The results show that the overall PEHS converter efficiency is about 85% based on the simulation and experimental implementations.

scholarly journals Emerging Devices Based on Two-Dimensional Monolayer Materials for Energy Harvesting

Research ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-16 ◽  
Author(s):  
Feng Ru Fan ◽  
Wenzhuo Wu
Keyword(s):  
Energy Harvesting ◽  
Electrical Power ◽  
Thin Body ◽  
Mechanical And Thermal Properties ◽  
Two Dimensional ◽  
Energy Needs ◽  
Challenges And Opportunities ◽  
Self Powered ◽  
Hybrid Devices ◽  
Energy Harvesting Devices

Two-dimensional (2-D) materials of atomic thickness have attracted considerable interest due to their excellent electrical, optoelectronic, mechanical, and thermal properties, which make them attractive for electronic devices, sensors, and energy systems. Scavenging the otherwise wasted energy from the ambient environment into electrical power holds promise to address the emerging energy needs, in particular for the portable and wearable devices. The versatile properties of 2-D materials together with their atomically thin body create diverse possibilities for the conversion of ambient energy. The present review focuses on the recent key advances in emerging energy-harvesting devices based on monolayer 2-D materials through various mechanisms such as photovoltaic, thermoelectric, piezoelectric, triboelectric, and hydrovoltaic devices, as well as progress for harvesting the osmotic pressure and Wi-Fi wireless energy. The representative achievements regarding the monolayer heterostructures and hybrid devices are also discussed. Finally, we provide a discussion of the challenges and opportunities for 2-D monolayer material-based energy-harvesting devices in the development of self-powered electronics and wearable technologies.

scholarly journals Environmental Energy Harvesting Techniques to Power Standalone IoT-Equipped Sensor and Its Application in 5G Communication

2021 ◽  
Vol 4 ◽  
pp. 116-126
Author(s):  
Satyanand Singh
Keyword(s):  
Energy Harvesting ◽  
Smart Cities ◽  
Cost Effective ◽  
Power Generators ◽  
Time Period ◽  
Harvesting Systems ◽  
Micro Power ◽  
Iot Devices ◽  
Energy Harvesting Devices ◽  
Near Future

In the recent few years, due to its significant deployment to meet global demand for smart cities, the Internet of Things (IoT) has gained a lot of attention. Environment energy harvesting devices, which use ambient energy to generate electricity, could be a viable option in near future for charging or powering stand-alone IoT sensors and electronic devices. The key advantages of such energy harvesting gadgets are that they are environmentally friendly, portable, wireless, cost-effective, and compact. It is significant to propos and fabricate an improved, high-quality, economical, and efficient energy harvesting systems to overcome power supply to tiny IoT devices at the remote locations. In this article, various types of mechanisms for harvesting renewable energies that can power sensor enabled IoT locally, as well as its associated wireless sensor networks (WSNs), are reviewed. These methods are discussed in terms of their advantages and applications, as well as their drawbacks and limitations. Furthermore, methodological performance analysis for the decade 2005 to 2020 is surveyed in order to identify the methods that delivered high output power for each device. Furthermore, the outstanding breakthrough performances of each of the aforementioned micro-power generators during this time period are emphasized. According to the research, thermoelectric modules can convert up to 2500×10^(-3) W/cm^2, thermo-photovoltaic 10.9%, piezoelectric 10,000 mW/cm^3 and microbial fuel cell 6.86 W/m^2 of energy. Doi: 10.28991/esj-2021-SP1-08 Full Text: PDF

scholarly journals An improved Whale Optimization Approach for Effective Data Transmission for IoT Communication

2021 ◽  
Vol 5 (6) ◽  
pp. 49-57
Author(s):  
Abidullha Adel ◽  
Md Sohel Rana ◽  
Nuruzzam Rana ◽  
Md Alamin Hosan ◽  
Mohammad Akbar Shapoor
Keyword(s):  
Objective Function ◽  
Optimization Technique ◽  
Optimal Path ◽  
Smart Devices ◽  
Optimization Approach ◽  
Coverage Area ◽  
Communication Performance ◽  
Whale Optimization ◽  
Body Sensors ◽  
Iot Devices

Internet of Things (IoT) offers interconnection among several wireless communication devices for the provision of device accessibility and in-built capacity. IoT provides device interaction and provision of advantages capability for networking and socialization with consideration of intermediate devices. Through innovation in technology IoT devices convert cyber environments with hyper-connectivity. IoT communication contains several smart devices such as body sensors, smartphones, tags, electronic gadgets, and so on. IoT communication is involved in the provision of heterogeneous connectivity among devices for the provision of interface and connectivity for enhancing service quality. The data sending among IoT devices is affected by several threats that have an impact on the network’s performance. To overcome the limitation related to IoT communication, it is necessary to develop an appropriate technique for enhancing IoT network communication performance. In this research developed a multi-channel routing approach is adopted in IoT communication. The developed approach utilizes a meta-heuristics approach with probability-based characteristics. For the meta-heuristics approach this research utilizes whale optimization technique combined with probability characteristics for improving the IoT communication performance of the network. The proposed approach utilizes initially constructs the IoT communication path for information sharing and gathering. This path information is identified through the objective function of a meta-heuristic approach. Based on the objective function hoping between the devices is minimized through which data are transmitted in the network. Simulation is performed as a unique proposed approach with a coverage area of 100 meters. For identification of the optimal path in the network, WOA identifies the path of communication through probability function. Comparative analysis of research exhibited that WOA provides significant performance with the identification of optimal value at the range of 1.0746e-78. Further, the proposed probability-based WOA approach significantly improves the performance of the IoT network.

Realizing the Benefits of Energy Harvesting for IoT

2021 ◽  
pp. 144-155
Author(s):  
Shakeel Ahmed
Keyword(s):  
Solar Wind ◽  
Energy Harvesting ◽  
Electrical Energy ◽  
Energy Sources ◽  
Extended Version ◽  
Renewable Sources ◽  
Different Types ◽  
Harvesting Systems ◽  
Self Powered ◽  
Iot Devices

Different types of energy which generally fulfill the requirements of computing are mostly from thermal, mechanical, solar, wind, acoustic, and wave. Typically, IoT devices are powered by batteries that have limited lifetime, and thus these IoT devices need to be self-powered or require supportive energy sources that uninterruptedly power IoT devices. Energy harvesting is one of the techniques that can be applied to power these devices, which is a procedure of apprehending energy from lone or more energy from renewable sources in the proximate atmosphere known as environmental energy which can be renovated into usable electrical energy. Numerous researches are being carried out to harvest energy. This chapter is the extended version of the previous work carried out and analyses the present works on the application of IoT in energy harvesting systems and extant different research works carried out by the investigators to classify them.

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