DWT Based Adaptive Threshold Determination in Embolic Signal Detection

2007 ◽  
Author(s):  
N. Aydin
Keyword(s):  
Signal Detection ◽  
Adaptive Threshold ◽  
Threshold Determination ◽  
Adaptive Threshold Determination

Adaptive threshold determination for efficient channel sensing in cognitive radio network using mobile sensors

2017 ◽  
Author(s):  
M. N. Morshed ◽  
S. Khatun ◽  
L. M. Kamarudin ◽  
S. A. Aljunid ◽  
R. B. Ahmad ◽  
...  
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Network ◽  
Adaptive Threshold ◽  
Mobile Sensors ◽  
Radio Network ◽  
Threshold Determination ◽  
Channel Sensing ◽  
Adaptive Threshold Determination

Adaptive Threshold Determination for Spectral Peak Classification

2008 ◽  
Vol 32 (2) ◽  
pp. 57-67 ◽  
Author(s):  
Miroslav Zivanovic ◽  
Axel Röbel ◽  
Xavier Rodet
Keyword(s):  
Adaptive Threshold ◽  
Spectral Peak ◽  
Threshold Determination ◽  
Adaptive Threshold Determination

scholarly journals An Improved Triggering Updating Method of Interest Message with Adaptive Threshold Determination for Directed Diffusion Routing Protocol

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Jun Wang ◽  
Xiaohang Liu ◽  
Zhitao He ◽  
Yadan Zhang ◽  
Song Gao
Keyword(s):  
Exchange Rates ◽  
Routing Protocol ◽  
Information Exchange ◽  
Adaptive Threshold ◽  
Critical Parameters ◽  
Directed Diffusion ◽  
Threshold Determination ◽  
Sensing Model ◽  
Adaptive Threshold Determination ◽  
The Impact

Although some progress has been made in studying the triggering updating methods of interest message for reducing node energy consumption in directed diffusion routing protocols, they do not consider the anisotropy of sensing areas of nodes and the requirement of diversity of interest message exchange rates within real-time performance, which makes these studies unable to accurately adapt to the characteristics of interest message update. In this work, we proposed an improved triggering updating method (ITUM) consisted of adaptive threshold determination based on the analytic hierarchy process and update judgement by similarity comparison of interest messages. Meanwhile, the network model and the sensing model are presented to describe actual network scenarios. We analyze the impact of critical parameters and evaluate the performance of ITUM with several interest message updating methods from the aspect of lowering the number of information exchanges. The simulation results prove that ITUM can improve the adaptability to scene changes while decreasing the number of information exchanges compared with the existing methods. Furthermore, it is shown that ITUM is a highly effective solution for determining the triggering updating conditions of various information exchange rates in directed diffusion routing protocol.

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