Sympathy for the sensor network debugger

By Nithya Ramanathan, Kevin K. Chang, Rahul Kapur, Lewis Girod, Eddie Kohler, Deborah Estrin. ACM International Conference on Embedded Networked Sensor Systems, 2005

491 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/73a753522e175b1cf848e080ba6c93f4599bd2bd

How researchers see this paper

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

In Artificial Intelligence

1. Cyrus Shahabi
2. John S. Heidemann

In Computer Networks and Communications

1. Adam Dunkels
2. Thiemo Voigt
3. John S. Heidemann
4. Wei Ye
5. Fredrik Österlind
6. Cyrus Shahabi
7. David E. Culler
8. Ian F. Akyildiz

In Information Systems

1. Cyrus Shahabi
2. Adam Dunkels

Citations in the corpus

• Cross-Level Sensor Network Simulation with COOJA (2006, background): “Code development for wireless sensor networks is difficult and tedious [6] [11].”
• SWATS: Wireless sensor networks for steamflood and waterflood pipeline monitoring (2011, methodology): “[10] designed a debugging tool called Sympathy which detects, classifies, and localizes the senso r network failures.”
• A Survey of Fault Management in Wireless Sensor Networks (2007, unknown): “Sympathy monitors regular network traffic which is assumed to be frequently generated by each healthy node: sensor readings, synchronization beacons, routing updates, etc. Sympathy treats absence of monitored traffic as an indication of faults.”