Underlying and Persistence Fault Diagnosis in Wireless Sensor Networks Using Majority Neighbors Co-ordination Approach

2019 ◽  
Vol 111 (2) ◽  
pp. 763-798 ◽  
Author(s):  
Rakesh Ranjan Swain ◽  
Pabitra Mohan Khilar ◽  
Sourav Kumar Bhoi
2017 ◽  
Vol 21 (suppl. 2) ◽  
pp. 523-531 ◽  
Author(s):  
Indhu Ramalingam ◽  
Sankaran Annamalai ◽  
Sugumaran Vaithiyanathan

2014 ◽  
Vol 4 (1) ◽  
Author(s):  
Arunanshu Mahapatro ◽  
Pabitra Khilar

AbstractThis paper proposes an adaptive online distributed solution for fault diagnosis in wireless sensor networks (WSNs). Fault diagnosis is achieved by comparing the heartbeat message generated by neighboring nodes and dissemination of decision made at each node. Time redundancy is used to detect the intermittent faults since an intermittent fault will not occur consistently. The diagnosis performance degradation due to intermittent faults in sensing and transient faults in communication is analyzed. A near optimal trade-off between detection latency and number of tests required to detect intermittent faults is obtained. Simulation results are provided and they show that this work performs better, from both time and energy complexity viewpoint.


2016 ◽  
Vol 119 ◽  
pp. 45-57 ◽  
Author(s):  
Prasenjit Chanak ◽  
Indrajit Banerjee ◽  
R. Simon Sherratt

2013 ◽  
Vol 15 (4) ◽  
pp. 2000-2026 ◽  
Author(s):  
Arunanshu Mahapatro ◽  
Pabitra Mohan Khilar

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