Title : 
A Reliable Clustering algorithm for data gathering and transmmision in wireless sensor networks
         
        
            Author : 
Liang, Ying ; Feng, Yongxin
         
        
            Author_Institution : 
Shenyang Ligong Univ., Shenyang, China
         
        
        
        
        
        
            Abstract : 
In wireless sensor networks, the data-centric sensing task focuses more on the data reliability. In this paper, a reliable clustering algorithm RCVC (reliable clustering using virtual cluster-head) is proposed. It provides multipath for nodes in the network by using a set of redundant cluster-heads which are marked with a unique virtual identification. When the active cluster-heads fail, according to a certain strategy, our algorithm repairs the communication failures by selecting a backup node from the set of redundant cluster-heads. Simulation results show that RCVC can effectively reduce the influence of cluster-head failure on the performance of algorithm and improve the reliability of communication in the network.
         
        
            Keywords : 
pattern clustering; telecommunication network reliability; wireless sensor networks; data gathering; data transmission; data-centric sensing task; redundant cluster-head; reliable clustering algorithm; unique virtual identification; virtual cluster-head; wireless sensor network; Base stations; Clustering algorithms; Electronic mail; Intelligent sensors; Redundancy; Robust stability; Routing; Telecommunication network reliability; Wireless communication; Wireless sensor networks; clustering algorithm; reliability; wireless sensor network;
         
        
        
        
            Conference_Titel : 
Control and Decision Conference, 2009. CCDC '09. Chinese
         
        
            Conference_Location : 
Guilin
         
        
            Print_ISBN : 
978-1-4244-2722-2
         
        
            Electronic_ISBN : 
978-1-4244-2723-9
         
        
        
            DOI : 
10.1109/CCDC.2009.5194840