Study of adaptive aggregation on IPFIX

2008 ◽  
Author(s):  
Hitoshi Irino ◽  
Masaru Katayama ◽  
Shinichiro Chaki
Keyword(s):  
Adaptive Aggregation

scholarly journals Adaptive Aggregation-Based Domain Decomposition Multigrid for the Lattice Wilson--Dirac Operator

2014 ◽  
Vol 36 (4) ◽  
pp. A1581-A1608 ◽  
Author(s):  
A. Frommer ◽  
K. Kahl ◽  
S. Krieg ◽  
B. Leder ◽  
M. Rottmann
Keyword(s):  
Dirac Operator ◽  
Domain Decomposition ◽  
Adaptive Aggregation

An Aggregation Algorithm to Balance Energy Consumption and Reduce Delay Based on Unequal Clustering

2014 ◽  
Vol 971-973 ◽  
pp. 1978-1985
Author(s):  
Jie Min ◽  
Chang Sen Zhang ◽  
Kang Liu
Keyword(s):  
Energy Consumption ◽  
Data Aggregation ◽  
Clustering Algorithm ◽  
Transmission Delay ◽  
Experimental Simulation ◽  
Unequal Clustering ◽  
Cluster Radius ◽  
Adaptive Aggregation ◽  
Balance Energy ◽  
Monitoring Area

To balance wireless sensor network energy consumption and reduce transmission delay, this article proposes an adaptive data aggregation based on non-uniform clustering algorithm. In the phrase of Unequal clustering, it put forward the concept of “cluster radius”, made it increase along with the distance between monitoring area and sink node, in the phrase of data aggregation, when data loss rate changed with cluster radius dynamically, adjusted aggregation factors in each cluster adaptively, and aggregation factor decreased along with the increase of cluster radius. Experimental simulation shows that the adaptive aggregation based on unequal clustering algorithm reduces the network energy consumption by 18% and the network transmission delay by 47.2% than the unequal clustering full aggregation algorithm in literature [7], it prolongs the network lifetime and reaches the purpose of real-time monitoring.

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