Distributed Bayesian algorithms for fault-tolerant event region detection in wireless sensor networks

By Bhaskar Krishnamachari, S. Iyengar. IEEE transactions on computers, 2004

696 citations recorded by the source corpus.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/bcf65bd011458cd2f182f0ecf84e23cca66bab7e

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In Computer Networks and Communications

Citations in the corpus

Distributed fault detection of wireless sensor networks (2006, background): “Several localized threshold based decision schemes were proposed by Krishnamachari and Iyengar [5] to detect both faulty sensors and event regions.”
A distributed coverage- and connectivity-centric technique for selecting active nodes in wireless sensor networks (2005, background): “It also assures network connectivity for routing and information dissemination.”
Localized fault-tolerant event boundary detection in sensor networks (2005, background): “Sensor readings may be faulty due to hardware crash, security attack, or environment disturbance.”
Machine Learning in Wireless Sensor Networks: Algorithms, Strategies, and Applications (2014, background): “1) Event recognition through Bayesian algorithms: Krish-namachari and Iyengar [91] investigated the use of WSNs for detecting environmental phenomenon in a distributed manner.”
Outlier Detection Techniques for Wireless Sensor Networks: A Survey (2008, background): “This is based on the fact that noisy measurements and sensor faults are likely to be stochastically unrelated, while event measurements are likely to be spatially correlated [15].”
Global clock synchronization in sensor networks (2006, methodology): “There has been some previous work on fault-tolerant sensor network design, including Krishnamachari and Iyengar’s distributed Bayesian algorithms for fault-tolerant Event region detection in sensor networks [ 17 ].”
On distributed fault-tolerant detection in wireless sensor networks (2006, background): “Sensor networks are asked to determine event regions or boundaries in the environment with a distinguishable characteristic [4], [5], [6].”
Sensor network security: a survey (2009, background): “Centralized approaches [74, 75] Neighbors’ cooperative [76-81] Watchdog and Reputation Rating [77, 82-84] Virtual currency [85-87]”