Impala: a middleware system for managing autonomic, parallel sensor systems

By Ting Liu, Margaret Martonosi. ACM SIGPLAN Symposium on Principles & Practice of Parallel Programming, 2003

448 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/c783f0d57adb7ad7a420a81f0589e6095ac77a3e

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. Hervaldo Sampaio Carvalho
2. Amy Lynn Murphy
3. Wendi Rabiner Heinzelman
4. Mark A. Perillo
5. Mohamed F. Younis
6. Xuxun Liu
7. Limin Wang
8. Deborah Estrin

In Computer Vision and Pattern Recognition

1. Hervaldo Sampaio Carvalho
2. Amy Lynn Murphy
3. Wendi Rabiner Heinzelman
4. Mark A. Perillo

Citations in the corpus

• Middleware for Internet of Things: A Survey (2016, unknown): “This survey indicates that there have been significant advances in addressing many challenges for middleware in an IoT environment, with the following open challenges remaining.”
• Middleware to support sensor network applications (2004, methodology): “Based on this information, MiLAN makes decisions about how to control the network as well as the sensors themselves to balance application QoS and energy efficiency, lengthening the lifetime of the application.”
• Trickle: A Self-Regulating Algorithm for Code Propagation and Maintenance in Wireless Sensor Networks (Awarded Best Paper!) (2004, unknown): “Gossiping through the exchange of metadata is reminiscent of SPIN’s three-way handshaking protocol [9]; the Impala system, deployed in ZebraNet, uses a similar approach [15].”