Hood: a neighborhood abstraction for sensor networks

By Kamin Whitehouse, Cory Sharp, David E. Culler, Eric A. Brewer. ACM SIGMOBILE International Conference on Mobile Systems, Applications, and Services, 2004

425 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Hardware and Architecture, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/699864b38d987b8a7509d26e6914afc6586cbd04

How researchers see this paper

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

In Computer Vision and Pattern Recognition

1. Joseph Polastre
2. Scott Shenker
3. Jerry Zhao
4. Ion Stoica
5. David E. Culler
6. Ramesh Govindan
7. Deborah Estrin
8. Limin Wang

In Hardware and Architecture

1. David E. Culler
2. Ramesh Govindan
3. P. Levis
4. Joseph Polastre
5. Omprakash Gnawali
6. Scott Shenker
7. Ion Stoica
8. Matt Welsh

In Mechanical Engineering

1. Pai H. Chou

Citations in the corpus

• A unifying link abstraction for wireless sensor networks (2005, methodology): “The neighbor table implementation is similar to the ideas presented in Hood [87] and Regions [86].”
• Macro-programming Wireless Sensor Networks Using Kairos (2005, background): “Examples of this approach inc lude the recent work on node-local or region-based abstractions [7, 8].”