Presentation Title

Hybrid Fault Diagnosis in Sensor Networks

Presenter Information

Fang YuanFollow

Advisor Information

Azad Azadmanesh

Location

UNO Criss Library, Room 225

Presentation Type

Oral Presentation

Start Date

2-3-2018 1:45 PM

End Date

2-3-2018 2:00 PM

Abstract

Abstract – Wireless Sensor Networks (WSNs) are often prone to component failures due to factors such as energy depletion, environmental changes, and their deployment in hostile terrains. This research proposes a Distributed Fault Diagnosis (DFS) protocol to diagnose and remove faulty sensor nodes from further task participation. Most existing DFD algorithms consider simple and singular faults. Instead, the proposed algorithm takes advantage of hybrid fault modeling that allows for co-existence of various faults with different severities. Depending on node spatiality and application, the algorithm is able to dynamically tune the fault model and use one-hop or two-hop neighbors to adjust the accuracy of the fault diagnosis. The proposed approach will be simulated and compared against some benchmark algorithms.

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COinS
 
Mar 2nd, 1:45 PM Mar 2nd, 2:00 PM

Hybrid Fault Diagnosis in Sensor Networks

UNO Criss Library, Room 225

Abstract – Wireless Sensor Networks (WSNs) are often prone to component failures due to factors such as energy depletion, environmental changes, and their deployment in hostile terrains. This research proposes a Distributed Fault Diagnosis (DFS) protocol to diagnose and remove faulty sensor nodes from further task participation. Most existing DFD algorithms consider simple and singular faults. Instead, the proposed algorithm takes advantage of hybrid fault modeling that allows for co-existence of various faults with different severities. Depending on node spatiality and application, the algorithm is able to dynamically tune the fault model and use one-hop or two-hop neighbors to adjust the accuracy of the fault diagnosis. The proposed approach will be simulated and compared against some benchmark algorithms.