What is he best known for?
The fields of study he is best known for:
- Operating system
- Electrical engineering
- Computer network
The scientist’s investigation covers issues in Wireless sensor network, Real-time computing, Electronic engineering, Energy harvesting and Energy consumption.
The Wireless sensor network study combines topics in areas such as Wireless, Key distribution in wireless sensor networks, Solar energy, Node and Efficient energy use.
His Real-time computing research incorporates themes from Environmental monitoring and Embedded system, Design space exploration.
Control theory and Memory footprint is closely connected to Available energy in his research, which is encompassed under the umbrella topic of Electronic engineering.
Davide Brunelli integrates many fields in his works, including Energy harvesting and Energy source.
The study incorporates disciplines such as Optimization problem and Energy storage in addition to Energy consumption.
His most cited work include:
- Modeling and Optimization of a Solar Energy Harvester System for Self-Powered Wireless Sensor Networks (267 citations)
- Design of a Solar-Harvesting Circuit for Batteryless Embedded Systems (202 citations)
- Hibernus: Sustaining Computation During Intermittent Supply for Energy-Harvesting Systems (160 citations)
What are the main themes of his work throughout his whole career to date?
Wireless sensor network, Energy harvesting, Real-time computing, Wireless and Embedded system are his primary areas of study.
His work carried out in the field of Wireless sensor network brings together such families of science as Sensor node, Key distribution in wireless sensor networks, Node, Electronic engineering and Efficient energy use.
His Electronic engineering research incorporates elements of Photovoltaic system and Transducer.
Davide Brunelli has researched Energy harvesting in several fields, including Power management, Automotive engineering, Energy storage and Electrical engineering, Solar energy.
As part of one scientific family, he deals mainly with the area of Real-time computing, narrowing it down to issues related to the Structural health monitoring, and often Accelerometer.
His research in Embedded system intersects with topics in Server and Energy management.
He most often published in these fields:
- Wireless sensor network (42.19%)
- Energy harvesting (27.00%)
- Real-time computing (25.74%)
What were the highlights of his more recent work (between 2018-2021)?
- Real-time computing (25.74%)
- Wireless sensor network (42.19%)
- Wireless (22.78%)
In recent papers he was focusing on the following fields of study:
Davide Brunelli mainly investigates Real-time computing, Wireless sensor network, Wireless, Structural health monitoring and Node.
Davide Brunelli has included themes like Swarm behaviour, Accelerometer, Feature extraction, Edge computing and Smart camera in his Real-time computing study.
His study in Wireless sensor network is interdisciplinary in nature, drawing from both Wearable computer, Embedded system and Efficient energy use.
His Wireless research incorporates elements of Synchronization and Communication channel, Channel capacity.
His study focuses on the intersection of Structural health monitoring and fields such as Principal component analysis with connections in the field of Embedding, Reduction, Dimensionality reduction and Robustness.
His Node research is multidisciplinary, incorporating perspectives in Quality of service, Enhanced Data Rates for GSM Evolution, Smart meter, Electric power transmission and Electrical efficiency.
Between 2018 and 2021, his most popular works were:
- Slotted ALOHA on LoRaWAN-Design, Analysis, and Deployment. (44 citations)
- Camaroptera: a Batteryless Long-Range Remote Visual Sensing System (12 citations)
- An Autonomous Swarm of Drones for Industrial Gas Sensing Applications (7 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Electrical engineering
- Computer network
His primary scientific interests are in Real-time computing, Wireless sensor network, Anomaly detection, Edge computing and Efficient energy use.
His studies deal with areas such as Swarm behaviour, Cluster analysis and Accelerometer as well as Real-time computing.
His Wireless sensor network study results in a more complete grasp of Computer network.
He has researched Edge computing in several fields, including Pipeline transport, Latency, Image sensor, Energy harvesting and Structural health monitoring.
Davide Brunelli has included themes like Distributed computing, Transmission, LPWAN and Embedded system in his Efficient energy use study.
His research integrates issues of Node, Quality of service, Electric power transmission and Communication channel in his study of Wireless.
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