Name
Abstract | ||
|---|---|---|
Sensor networks are usually dense networks where the network diversity can be exploited in order to overcome failures. In this paper, we study the use of multiple description techniques in the context of sensor networks where the cause Of failures is due to the usual practical constraint of having finite buffers in the sensors, instead of the more traditional case of link failures considered in previous research. Although from a theoretical point of view we observe that the use of more descriptions provides usually better performance, we show experimentally that this is not the case in practice, when real constraints arc introduced, such as finite buffers and the presence of header information, necessary for any real application. Our main result is that the optimal number of descriptions, in terms of average distortion, decreases as the fraction of header information increases for a given buffer size. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/ICME.2005.1521707 | 2005 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME), VOLS 1 AND 2 |
Keywords | Field | DocType |
wireless sensor networks,multiple description coding,buffer overflow,encoding,decoding,intelligent networks,sensor network,capacitive sensors | Multiple description coding,Computer science,Capacitive sensing,Decoding methods,Header,Intelligent Network,Wireless sensor network,Buffer overflow,Distributed computing,Encoding (memory) | Conference |
Citations | PageRank | References |
3 | 0.43 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Enrico Baccaglini | 1 | 90 | 9.52 |
| Guillermo Barrenetxea | 2 | 414 | 27.80 |
| Baltasar Beferull-Lozano | 3 | 588 | 67.49 |