Design and implementation of an energy-neutral solar energy system for wireless sensor-actuator nodes

Knapp, Jonathan D.; Flikkema, Paul G.

doi:10.1109/giots.2017.8016244

Cited by 6 publications

(2 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Energy supply is critical to IoT wireless sensor devices, as lifetime and utility of the sensors are based on how long a battery can sustain operation [4,14,15]. Harvesting energy from the environment has to supplement stored battery energy [16][17][18][19][20][21][22] and selection of processing modes based on available energy [23] are common methods of extending operating life of IoT devices. Photovoltaic cells (PVC) can be used for solar energy harvesting and provide a renewable energy resource that is well suited for behavior monitors [11,24].…”

Section: Related Workmentioning

confidence: 99%

Energy-Neutral Data Collection Rate Control for IoT Animal Behavior Monitors

Wilhelm

Blackshire²,

Lanzone³

2017

Applied Sciences

View full text Add to dashboard Cite

Energy-neutral operation (ENO) is a major concern for Internet of things (IoT) sensor systems. Animals can be tagged with IoT sensors to monitor their movement and behavior. These sensors wirelessly upload collected data and can receive parameters to change their operation. Typically, the behavior monitors are powered by a battery where the system relies upon harvesting solar radiation for sustainable operation. Solar panels typically are used as the harvesting mechanism and can have a level of uncertainty regarding consistent energy delivery due to factors such as adverse weather, foliage, time of day, and individual animal behavior. The variability of available energy inevitably creates a trade-off in the rate at which data can be collected with respect to incoming and stored energy. The objective of this research was to investigate and simulate methods and parameters that can control the data collection rate of an IoT behavior monitor to achieve sustained operation with unknown and random energy harvesting. Analysis and development of a control system were performed by creating a software model of energy consumption and then simulating using different initial conditions and random energy harvesting rates for evaluation. The contribution of this effort was the exploration into the usage of a discrete-time gain scheduled Proportional-Integral-Derivative (PID) that was tuned to a specific device configuration, using battery state of charge as an input, and found to maintain a battery level set-point, reject small solar harvesting energy disturbances, and maintain a consistent data collection rate throughout the day.

show abstract

Section: Related Workmentioning

confidence: 99%

Energy-Neutral Data Collection Rate Control for IoT Animal Behavior Monitors

Wilhelm

Blackshire²,

Lanzone³

2017

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…[16] Solar panels could harness the ambient sun energy, but a requirement of sunlight make it limited due to the shadowed or hidden working area as well as long-evening and poor weather condition. [17,18] The latter could be solved by a built-in rechargeable battery, which, however, hinders the whole system's long-time usage (e.g., for years), owing to the battery's limited lifetime. Considering the abundant mechanical energy in ambient, wind-driven prototypes on the basis of electromagnetic principle are proposed.…”

mentioning

confidence: 99%

Sustainable Long‐Term and Wide‐Area Environment Monitoring Network Based on Distributed Self‐Powered Wireless Sensing Nodes

Liu

Chen

et al. 2022

Advanced Energy Materials

View full text Add to dashboard Cite

Environmental monitoring of local climatic variations plays a vital role in the research on global warming, species diversity, ecological sustainability, and so on. Traditional monitoring technologies, such as meteorological stations or satellite imagery, can give an overall environment picture but at high cost, high energy consumption, and with insufficient regional details. Here, a networking system made of low‐cost, maintenance‐free, and distributed self‐powered wireless monitoring nodes is proposed, aimed at establishing a sensing system for long‐term and wide‐area environment monitoring. It is demonstrated that, as driven by gentle wind, these distributed nodes are able to monitor temperature, humidity, and atmospheric pressure automatically, and then transfer the sensing data to receiving terminals wirelessly using triboelectric nanogenerators as energy harvesting technologies. The longest transmitting distance is 2.1 km. Additionally, a sensing network is formed. By utilizing several nodes, a 2‐km2 region is covered, and the information can be transmitted live using a relay‐technology. Furthermore, the node is demonstrated to work for weeks, and continuously send back environmental data. Since the nodes are portable and the embedded sensors are customizable, it is anticipated that the system can be multifunctional and applied in many natural areas, such as forests, prairies, mountains, lake regions, and so on.

show abstract

Toward Cyber-Eco Systems: Networked Sensing, Inference, and Control for Ecological and Agricultural Systems

Flikkema,

Heinrich

2023

Handbook of Dynamic Data Driven Applications Systems

View full text Add to dashboard Cite

Design and implementation of an energy-neutral solar energy system for wireless sensor-actuator nodes

Cited by 6 publications

References 17 publications

Energy-Neutral Data Collection Rate Control for IoT Animal Behavior Monitors

Energy-Neutral Data Collection Rate Control for IoT Animal Behavior Monitors

Sustainable Long‐Term and Wide‐Area Environment Monitoring Network Based on Distributed Self‐Powered Wireless Sensing Nodes

Toward Cyber-Eco Systems: Networked Sensing, Inference, and Control for Ecological and Agricultural Systems

Contact Info

Product

Resources

About