scholarly journals Fuzzy decision fusion for single target classification in wireless sensor networks

2010 ◽  
Author(s):  
Sercan Gok ◽  
Adnan Yazici ◽  
Ahmet Cosar ◽  
Roy George
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Decision Fusion ◽  
Wireless Sensor ◽  
Fuzzy Decision ◽  
Target Classification ◽  
Single Target

scholarly journals A Fuzzy-Decision Based Approach for Composite Event Detection in Wireless Sensor Networks

2014 ◽  
Vol 2014 ◽  
pp. 1-20 ◽  
Author(s):  
Shukui Zhang ◽  
Hao Chen ◽  
Qiaoming Zhu ◽  
Juncheng Jia
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Event Detection ◽  
Dominating Set ◽  
Wireless Sensor ◽  
Rule Base ◽  
Detection Accuracy ◽  
Two Dimensional ◽  
Fuzzy Decision ◽  
Composite Event

The event detection is one of the fundamental researches in wireless sensor networks (WSNs). Due to the consideration of various properties that reflect events status, the Composite event is more consistent with the objective world. Thus, the research of the Composite event becomes more realistic. In this paper, we analyze the characteristics of the Composite event; then we propose a criterion to determine the area of the Composite event and put forward a dominating set based network topology construction algorithm under random deployment. For the unreliability of partial data in detection process and fuzziness of the event definitions in nature, we propose a cluster-based two-dimensionalτ-GAS algorithm and fuzzy-decision based composite event decision mechanism. In the case that the sensory data of most nodes are normal, the two-dimensionalτ-GAS algorithm can filter the fault node data effectively and reduce the influence of erroneous data on the event determination. The Composite event judgment mechanism which is based on fuzzy-decision holds the superiority of the fuzzy-logic based algorithm; moreover, it does not need the support of a huge rule base and its computational complexity is small. Compared to CollECT algorithm and CDS algorithm, this algorithm improves the detection accuracy and reduces the traffic.

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