NED: An Efficient Noise-Tolerant Event and Event Boundary Detection Algorithm in Wireless Sensor Networks

2006 ◽  
Author(s):  
Guang Jin ◽  
S. Nittel
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Boundary Detection ◽  
Detection Algorithm ◽  
Wireless Sensor ◽  
Noise Tolerant ◽  
Event Boundary

scholarly journals An Information Entropy Based Event Boundary Detection Algorithm in Wireless Sensor Networks

Symmetry ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 537 ◽  
Author(s):  
Huafeng Wu ◽  
Qingshun Meng ◽  
Jiangfeng Xian ◽  
Xiaojun Mei ◽  
Christophe Claramunt ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Information Entropy ◽  
Large Scale ◽  
Boundary Detection ◽  
Detection Algorithm ◽  
Wireless Sensor ◽  
Detection Accuracy ◽  
Environment Monitoring ◽  
Event Boundary

Wireless Sensor Networks (WSNs) have been extensively applied in ecological environment monitoring. Typically, event boundary detection is an effective method to determine the scope of an event area in large-scale environment monitoring. This paper proposes a novel lightweight Entropy based Event Boundary Detection algorithm (EEBD) in WSNs. We first develop a statistic model using information entropy to figure out the probability that a sensor is a boundary sensor. The EEBD is independently executed on each wireless sensor in order to judge whether it is a boundary sensor node, by comparing the values of entropy against the threshold which depends on the boundary width. Simulation results demonstrate that the EEBD is computable and offers valuable detection accuracy of boundary nodes with both low and high network node density. This study also includes experiments that verify the EEBD which is applicable in a real ocean environmental monitoring scenario using WSNs.

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