A classification and comparison of Data Mining algorithms for Wireless Sensor Networks

2012 ◽  
Author(s):  
S. V. Stankovic ◽  
G. Rakocevic ◽  
N. Kojic ◽  
D. Milicev
Keyword(s):  
Data Mining ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Data Mining Algorithms ◽  
Mining Algorithms

DATA MINING VIA MINIMAL SPANNING TREE CLUSTERING FOR PROLONGING LIFETIME OF WIRELESS SENSOR NETWORKS

2007 ◽  
Vol 06 (02) ◽  
pp. 235-251 ◽  
Author(s):  
GUANGYAN HUANG ◽  
XIAOWEI LI ◽  
JING HE ◽  
XIN LI
Keyword(s):  
Data Mining ◽  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Spanning Tree ◽  
Base Station ◽  
Wireless Sensor ◽  
Evaluation Metrics ◽  
Minimal Spanning Tree ◽  
Clustering Methods

Clustering is applied in wireless sensor networks for increasing energy efficiency. Clustering methods in wireless sensor networks are different from those in traditional data mining systems. This paper proposes a novel clustering algorithm based on Minimal Spanning Tree (MST) and Maximum Energy resource on sensors named MSTME. Also, specified constrains of clustering in wireless sensor networks and several evaluation metrics are given. MSTME performs better than already known clustering methods of Low Energy Adaptive Clustering Hierarchy (LEACH) and Base Station Controlled Dynamic Clustering Protocol (BCDCP) in wireless sensor networks when they are evaluated by these evaluation metrics. Simulation results show MSTME increases energy efficiency and network lifetime compared with LEACH and BCDCP in two-hop and multi-hop networks, respectively.

scholarly journals Data Mining Techniques for Wireless Sensor Networks: A Survey

2013 ◽  
Vol 9 (7) ◽  
pp. 406316 ◽  
Author(s):  
Azhar Mahmood ◽  
Ke Shi ◽  
Shaheen Khatoon ◽  
Mi Xiao
Keyword(s):  
Data Mining ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Data Mining Techniques

scholarly journals Security Integration Challenges in Wireless Sensor Networks and Major Issues in Data Mining

2019 ◽  
pp. 302-307
Author(s):  
Shoban Babu Sriramoju
Keyword(s):  
Data Mining ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Scanner Data ◽  
Large Database

Data mining acquires its name from the resemblances between searching for useful company information in a large database for instance, locating connected products in gigabytes of store scanner data-- as well as mining a mountain for a capillary of beneficial ore. Both processes call for either sifting through an immense amount of product, or smartly penetrating it to discover specifically where the value resides. This paper provides the major problems of Data Mining as well as additionally discuss regarding security assimilation challenges in WSN.

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