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Data compression trade-offs in sensor networks
| Content Provider | Semantic Scholar |
|---|---|
| Author | Chen, Mo Fowler, Mark L. |
| Copyright Year | 2004 |
| Abstract | This paper first discusses the need for data compression within sensor networks and argues that data compression is a fundamental tool for achieving trade-offs in sensor networks among three important sensor network parameters: energy-efficiency, accuracy, and latency. Next, it discusses how to use Fisher information to design data compression algorithms that address the trade-offs inherent in accomplishing multiple estimation tasks within sensor networks. Results for specific examples demonstrate that such trades can be made using optimization frameworks for the data compression algorithms. |
| File Format | PDF HTM / HTML |
| DOI | 10.1117/12.562187 |
| Volume Number | 5561 |
| Alternate Webpage(s) | http://ws2.binghamton.edu/fowler//Fowler%20Personal%20Page/Publications_files/SPIE_2004_Paper.pdf |
| Alternate Webpage(s) | http://ws2.binghamton.edu/fowler/Fowler%20Personal%20Page/Publications_files/SPIE_2004_Paper.pdf |
| Alternate Webpage(s) | http://www.ws.binghamton.edu/fowler/Fowler%20Personal%20Page/Publications_files/SPIE_2004_Paper.pdf |
| Journal | SPIE Optics + Photonics |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
