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
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;
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
DOI :
10.1109/ICDMW.2010.28