Maté: a tiny virtual machine for sensor networks

By P. Levis, David E. Culler. ASPLOS X, 2002

1,294 citations recorded by the source corpus.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/22bc33c30191b316fe97ae520589856f5530309d

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. David E. Culler
2. Adam Dunkels
3. J. Stankovic
4. Ramesh Govindan
5. Deborah Estrin
6. P. Levis
7. John S. Heidemann
8. Samuel Madden

Citations in the corpus

• TOSSIM: accurate and scalable simulation of entire TinyOS applications (2003, background): “Many published systems [8, 14], protocols [11, 20, 26, 28, 31] and applications [15, 17, 18, 29] have been built on TinyOS.”
• Contiki - a lightweight and flexible operating system for tiny networked sensors (2004, methodology): “After linking, modifying the system is not possible [17].”
• Macro-programming Wireless Sensor Networks Using Kairos (2005, methodology): “Such systems enable high-level composition of sensor network appli cations (Sensorware [23] and SNACK [24]), efficient distribution of code (Deluge [25] ), support for sandboxed application execution (Mat é [26]), and techniques for automatic performance adaptation (Impala [27]).”
• Middleware for Internet of Things: A Survey (2016, positive): “Adaptive middleware is autonomous and offers support for adaptation, though has been designed particularly for smart-home contextaware applications.”
• The Tenet architecture for tiered sensor networks (2006, methodology): “Mate [17, 19] provides a framework for implementing high-level application-specific virtual machines on motes and for disseminating bytecode.”
• Protothreads: simplifying event-driven programming of memory-constrained embedded systems (2006, background): “For this reason, many operating systems for sensor networks, * Work done at the Swedish Institute of Computer Science.”
• Wireless sensor networks for habitat monitoring (2002, neutral): “Mat´e: A tiny virtual machine for sensor networks.”
• The dynamic behavior of a data dissemination protocol for network programming at scale (2004, background): “A simple model is also derived which describes the limits of data propagation in wireless networks.”
• Design of an application-cooperative management system for wireless sensor networks (2005, background): “Other implementations of reliable dissemination have so ar been application-specific [1] [3] [4].”
• Information fusion for wireless sensor networks: Methods, models, and classifications (2007, methodology): “Particularly, the Mate´[Levis and Culler 2002] and the SensorWare [Boulis et al. 2003b] frameworks were pro­posed to implement the Active Networks paradigm into sensor networks.”
• Rapid Development and Flexible Deployment of Adaptive Wireless Sensor Network Applications (2005, positive): “As pointed out in [20], TinyOS has a high learning curve, which is compounded by the limited resources and unreliable radio.”