Antipodal Staged Processing in Role-adaptive Embedded Systems
This project investigates how to leverage the complimentary features of a large variety of processors, radios and sensors (low-power vs. power-efficient) to design sensor nodes that can operate over a high dynamic range. With such functionality, nodes can dynamically assume roles inside a sensor network, switching from cluster head to leaf nodes in a power efficient manner.
Main Research Area:
Power-aware Computing and Communications
- Estimating Clock Uncertainty for Efficient Duty-Cycling in Sensor Networks
Saurabh Ganeriwal, Ilias Tsigkogiannis, Hohyun Shim, Vlasios Tsiatsis, Mani B. Srivastava, and Deepak Ganesan.
IEEE/ACM Transactions on Networking (Accepted), July 2008. [ Details ]
- Exploring Tradeoffs in Accuracy, Energy and Latency of Scale Invariant Feature Transform in Wireless Camera Networks
Teresa Ko, Zainul M. Charbiwala, Shaun Ahmadian, Mohammed Rahimi, Mani B. Srivastava, Stefano Soatto, and Deborah Estrin.
First ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC-07), September 2007. [ Details ]
- ViRe: Virtual Reconfiguration Framework for Embedded Processing in Distributed Image Sensors
Rahul Balani, Akhilesh Singhania, Simon Han, and Mani B. Srivastava.
Workshop on Adaptive and Reconfigurable Embedded Systems (APRES), held in conjunction with RTAS, April 2008. [ Details ]