Wireless sensor networks (WSNs) play an important role in a wide range of civilian and military applications, including environment monitoring (e.g., soil and air contaminants), seismic-structure analysis, marine micro-organisms research, military surveillance and reconnaissance, etc. In many deployment scenarios, sensors must be powered by batteries, which makes energy consumption a critical factor in the design of a WSN and calls for efficient and distributed energy management solutions that maximize the operational lifetime of the network. In this project, we are developing such solutions through intelligent topology management, adaptive sensing, clustering, cooperative (virtual) MIMO communications, and energy harvesting. Our agenda includes:
- Dynamic Activation of Sensors in Location-Unaware WSNs
- Maximizing Quality of Coverage in Active WSNs with Energy Harvesting Capabilities
- Clustering Algorithms for WSNs
