An environmental energy harvesting framework for sensor networks
By Aman Kansal, Mani B. Srivastava. Proceedings of the 2003 International Symposium on Low Power Electronics and Design, 2003. ISLPED '03., 2003
330 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/7a4ae91b0371b712a03e7fbd59c0e8311d922b25
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Purushottam Kulkarni
- Sujesha Sudevalayam
- Aman Kansal
- Hwee Pink Tan
- Zhi Ang Eu
- Winston Khoon Guan Seah
- Jinwu Xiang
- Daochun Li
In Electrical and Electronic Engineering
- Purushottam Kulkarni
- Sujesha Sudevalayam
- Hwee Pink Tan
- Zhi Ang Eu
- Winston Khoon Guan Seah
- Jinwu Xiang
- Daochun Li
- Yining Wu
Citations in the corpus
- Cognitive Radio Wireless Sensor Networks: Applications, Challenges and Research Trends (2013, background): “Although there are several proposals for energy harvesting [56–58], these techniques have their own limitations.”
- Wireless sensor network survey (2008, background): “In terms of harvesting energy from the environment [12], solar cell is the current mature technique that harvest energy from light.”
- TOPICS IN AD HOC AND SENSOR NETWORKS (2007, unknown): “Effective management of sensor power consumption has therefore lately emerged as an important issue in sensor networks.”
- Adaptive Control of Duty Cycling in Energy-Harvesting Wireless Sensor Networks (2007, background): “Two exceptions are [3] and [11], which show that incorporating such information into a tasking algorithm can indeed improve performance and lifetime as compared to naive approaches.”
- Energy harvesting by means of flow-induced vibrations on aerospace vehicles (2016, methodology): “A distributed framework was presented in [174] for the sensor network to adaptively learn its energy environment and give localized algorithms to use this information for task sharing among nodes.”
- An Adaptive System for Optimal Solar Energy Harvesting in Wireless Sensor Network Nodes (2008, background): “Moreover, the modified control loop (due to its time delaying PI action) may cause the power converter burst mode switching activity to slow down.”
- Optimal energy management policies for energy harvesting sensor nodes (2008, background): “Early papers on energy harvesting in sensor networks are [14] and [15].”
- Review of the application of energy harvesting in buildings (2013, unknown): “components in the electronic device [4, 5].”
- Power management in energy harvesting sensor networks (2007, methodology): “The first work to take environmental energy into account for routing was [Kansal and Srivastava 2003], followed by [Voigt et al.”
- Energy Harvesting Sensor Nodes: Survey and Implications (2011, methodology): “An energy harvesting framework (EEHF) to predict a node’s effective energy is presented in [62].”
- Wireless sensor networks powered by ambient energy harvesting (WSN-HEAP) - Survey and challenges (2009, methodology): “To achieve this, an environmental energy harvesting framework (EEHF) [14] has been proposed to adaptively learn the energy environment and make use of this information to more efficiently exploit the energy resources in order to improve the performance of the sensor network.”