A Majority Voting Scheme in Wireless Sensor Networks for Detecting Suspicious Node

2009 ◽  
Author(s):  
Chou Fan ◽  
Jin Tan
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Majority Voting ◽  
Wireless Sensor ◽  
Voting Scheme

Detection of Faulty Reading in Wireless Sensor Networks

2014 ◽  
Vol 13 (9) ◽  
pp. 4995-5010
Author(s):  
Neelam Singh ◽  
Sandeep Mehla ◽  
Matish Garg
Keyword(s):  
Wireless Sensor Networks ◽  
Markov Chain ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Performance Studies ◽  
State Of The Art ◽  
Majority Voting ◽  
Wireless Sensor ◽  
Weighted Voting ◽  
Distance Weighted

In this paper, the problem of determining faulty readings in a wireless sensor network without compromising detection of important events is studied. By exploring correlations between readings of sensors, a correlation network is built based on similarity between readings of two sensors. By exploring Markov Chain in the network, a mechanism for rating sensors in terms of the correlation, called Sensor Rank, is developed. In light of Sensor Rank, an efficient in-network voting algorithm, called Trust Voting, is proposed to determine faulty sensor readings. Performance studies are conducted via simulation. Experimental results show that the proposed algorithm outperforms majority voting and distance weighted voting- two state-of-the-art approaches for in-network faulty reading detection. 

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