Maté
University of California, Berkeley · Intel (United States)
Abstract
Composed of tens of thousands of tiny devices with very limited resources ("motes"), sensor networks are subject to novel systems problems and constraints. The large number of motes in a sensor network means that there will often be some failing nodes; networks must be easy to repopulate. Often there is no feasible method to recharge motes, so energy is a precious resource. Once deployed, a network must be reprogrammable although physically unreachable, and this reprogramming can be a significant energy cost.We present Maté, a tiny communication-centric virtual machine designed for sensor networks. Maté's high-level interface allows complex programs to be very short (under 100 bytes), reducing the energy cost…
Citation impact
- FWCI
- 31.64
- Percentile
- 100%
- References
- 32
Authors
2Topics & keywords
- Computer science
- Affordable and clean energy