Vibration harvesting in traffic tunnels to power wireless sensor nodes

By M. Wischke, M. Masur, M. Kröner, Peter Woias. 2011

133 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/5a57922619481229a4dfc8e0b0ab27602ea3b9b4

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Xinge Guo
2. Long Liu
3. Gerhard P. Hancke Jr.
4. Bruno Silva
5. Chengkuo Lee

In Mechanical Engineering

1. Xinge Guo
2. Long Liu
3. Chengkuo Lee

Citations in the corpus

• Wireless Sensor Networks for Condition Monitoring in the Railway Industry: A Survey (2015, background): “[130] were able to demonstrate that sufficient energy could be harvested to”
• Promoting smart cities into the 5G era with multi-field Internet of Things (IoT) applications powered with advanced mechanical energy harvesters (2021, background): “(j) Monitoring traffic tunnels by a piezoelectric vibration harvester-powered wireless sensor nodes [326].”
• The Role of Advanced Sensing in Smart Cities (2012, background): “For instance, at utility’s facilities, nodes deployed for condition monitoring can exploit vibrations for energy scavenging, as shown in [32].”