Prediction-based monitoring in sensor networks: taking lessons from MPEG

By S. Goel, Tomasz Imielinski. CCRV, 2001

309 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/bb64fb179211f49a21e05dac4ed75bad5ff3f69e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Mario Di Francesco
2. Giuseppe Pio Anastasi
3. Marco Conti
4. Saurabh Ganeriwal
5. Mani B. Srivastava
6. Andrea Passarella
7. Athanassios Boulis
8. Wang-Chien Lee

In Computer Vision and Pattern Recognition

1. Wang-Chien Lee
2. Mani B. Srivastava
3. Athanassios Boulis
4. Federico Castanedo
5. John S. Heidemann
6. Affan Ahmed Syed

In Electrical and Electronic Engineering

1. Mario Di Francesco
2. Giuseppe Pio Anastasi
3. Saurabh Ganeriwal
4. Marco Conti
5. Athanassios Boulis
6. Wang-Chien Lee
7. Mani B. Srivastava
8. Andrea Passarella

Citations in the corpus

• Aggregation in sensor networks: an energy-accuracy trade-off (2003, background): “In [13] the authors are concerned with the problem of monitoring the values of every sensor over time.”
• Energy conservation in wireless sensor networks: A survey (2009, background): “Among the first works about data prediction, [43] applied to sensor networks an approach in analogy with video compression.”
• Prediction-based strategies for energy saving in object tracking sensor networks (2004, background): “Similarly in sensor networks, the future reading at a sensor is predicted, given the past reading history and the spatial and temporal knowledge of readings from surrounding sensors [4].”