An information entropy based-clustering algorithm for heterogeneous wireless sensor networks

Faculty Science Year: 2018
Type of Publication: ZU Hosted Pages:
Authors:
Journal: Wireless Networks Springer Volume:
Keywords : , information entropy based-clustering algorithm , heterogeneous wireless    
Abstract:
This paper proposes a novel dynamic, distributive, and self-organizing entropy based clustering scheme that benefits from the local information of sensor nodes measured in terms of entropy and use that as criteria for cluster head election
   
     
 
       

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