DocumentCode
2190611
Title
W-LEACH: Weighted Low Energy Adaptive Clustering Hierarchy Aggregation Algorithm for Data Streams in Wireless Sensor Networks
Author
Abdulsalam, Hanady M. ; Kamel, Layla K.
Author_Institution
Inf. Sci. Dept., Kuwait Univ., Safat, Kuwait
fYear
2010
fDate
13-13 Dec. 2010
Firstpage
1
Lastpage
8
Abstract
Many recent applications deal with continues flows of data (data streams). One important area of applications that is based on data streams is the area of Wireless Sensor Networks (WSNs) applications. Since sensors have limited lifetime, the need for developing algorithms for aggregating sensors´ data forms an important concern in the area of WSNs. We present W-LEACH, a data-stream aggregation algorithm for WSNs that extends LEACH algorithm by Heinzelman et al. W-LEACH is able to handle non-uniform networks as well as uniform networks, while not affecting the network lifetime. It, instead, increases the average lifetime for sensors. We simulate our algorithm to evaluate its performance. Results show that W-LEACH increases the network lifetime and the average lifetime for sensors for uniform and non-uniform WSNs.
Keywords
data mining; pattern clustering; telecommunication computing; wireless sensor networks; W-LEACH; data mining; data stream; nonuniform WSN; nonuniform network; weighted low energy adaptive clustering hierarchy aggregation; wireless sensor network; Data aggregation; data mining; data streams; wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Mining Workshops (ICDMW), 2010 IEEE International Conference on
Conference_Location
Sydney, NSW
Print_ISBN
978-1-4244-9244-2
Electronic_ISBN
978-0-7695-4257-7
Type
conf
DOI
10.1109/ICDMW.2010.28
Filename
5693275
Link To Document