Exploiting the synergy between wireless sensor networks and remote sensing

A remote sensing approach to understand and model the impact of vegetation on low-power wireless communications

Silvia Demetri

Wireless Sensor Networks, Remote Sensing, LiDAR, Environmental Monitoring, Forest Parameter Estimation, Connectivity Assessment, Link Quality Prediction

The widespread adoption of Wireless Sensor Networks for monitoring natural ecosystems is hindered by their unpredictability. Vegetation affects radio connectivity in unique ways, rendering the effective deployment of the network challenging and costly. We aim at developing a Remote Sensing framework to enable automatic and scalable network planning.




Exploiting Ultra Low Power Wake-up Radios to enable Low Energy Internet of Things (LE-IoT)

Rajeev Kumar Piyare

Internet of Things, Wireless Sensor and Actuator Networks, Network Protocols, Low Power, Wake up Radio

Duty cycling Medium Access Control (MAC) protocols have been extensively applied in wireless sensor networks to reduce energy consumption by periodically putting the main radio into sleep mode. However, these protocols suffer from overhearing and idle listening causing considerable energy waste. This energy wastage can be greatly reduced by using a secondary ultra-low power wake-up radio to completely switch off the main radio and only wake it up when there is communication. To date, most effort has been devoted to the hardware level, but no consideration has been dedicated to the design of communication protocols based on wake-up radios. To exploit the full potential of wake-up radios, cross-layer integration at the higher level is required. My research work focuses on the design of novel MAC and Routing protocols with evaluation using test-beds and real-life deployments.