Localized fault-tolerant event boundary detection in sensor networks

By Min Ding, Dechang Chen, Kai Xing, Xiuzhen Cheng. Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies., 2005

445 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/b593803a35bbe5e5263e9b4ccc26c0e3e8abf983

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. Paul J. M. Havinga
2. Kia Makki
3. Niki Pissinou
4. Nirvana Meratnia
5. Yunhao Liu
6. Yang Zhang
7. Kang K. Yen
8. Xiangqian Chen

In Computer Networks and Communications

1. Yunhao Liu
2. Paul J. M. Havinga
3. Kia Makki
4. Niki Pissinou
5. Nirvana Meratnia
6. Mo Li
7. Yang Zhang
8. Kang K. Yen

Citations in the corpus

• Sensor network security: a survey (2009, methodology): “in [78] propose another localized approach to detect the faulty sensors by using neighbors’ data and processing them with the statistical method.”
• Outlier Detection Techniques for Wireless Sensor Networks: A Survey (2008, background): “[14] attempt to identify event boundaries since detection of event boundary may become more important than detection of event region because of unreliability of sensor measurements.”
• Underground Structure Monitoring with Wireless Sensor Networks (2007, background): “[5] propose a localized event boundary detection algorithm, which takes randomly emerged faulty sensors into account and tries to eliminate their degradation of the detection process.”