Abstract
Wireless sensor networks present a number of challenges to system designers, including notably the efficient use of limited resources such as bandwidth and energy. One way these challenges can be addressed is through the application of signal processing principles in the design, deployment and operation of sensor networks. After a discussion of general issues arising in this context, this talk will describe several recent developments in this area. These include the effects of receiver choice on energy efficiency, collaborative beam-forming, sensor scheduling, and distributed learning. Some of the work described in this talk can be found in Refs. 1-8.
| Original language | English (US) |
|---|---|
| Pages (from-to) | ix |
| Journal | Proceedings of SPIE - The International Society for Optical Engineering |
| Volume | 5910 |
| State | Published - 2005 |
| Event | Advanced Signal Processing Algorithms, Architectures, and Implementations XV - San Diego, CA, United States Duration: Aug 2 2005 → Aug 4 2005 |
All Science Journal Classification (ASJC) codes
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Applied Mathematics
- Electrical and Electronic Engineering
- Computer Science Applications
Keywords
- Beam-forming
- Distributed inference
- Sensor scheduling
- Signal processing
- Wireless sensor networks