Title :
Distributed Clustering Algorithm with Load Balancing in Wireless Sensor Network
Author :
Ishmanov, Farruh ; Kim, Sung Won
Author_Institution :
Departmwent of Inf. & Commun. Eng., Yeungnam Univ., Gyeongsangbukdo, South Korea
fDate :
March 31 2009-April 2 2009
Abstract :
Clustering is a promising technique for prolonging network lifetime and improving functionality of a wireless sensor network. It achieves high energy efficiency by utilizing multihop mode communication among clusters.However, relay clusters die much earlier than other cluster, because of unequal burden. As a consequence,network lifetime is significantly decreased. To mitigate this problem, rotation and unequal clustering schemes are proposed. However, rotation schemes are not much energy efficient. Unequal clustering schemes consider only distance and rarely consider overlapping clusters which can seriously affect load balancing. We propose load balancing and energy efficient clustering algorithm to efficiently distribute distance among clusters considering data volume and set up targeted clusters. In each step of clustering, algorithm estimates load on current cluster, forms next level clusters, and adjusts it with network width. As comparisons showed, our algorithm outperforms other algorithms in terms of network lifetime and load balancing.
Keywords :
pattern clustering; wireless sensor networks; distributed clustering algorithm; energy efficient clustering algorithm; load balancing; multihop mode communication; relay clusters; rotation schemes; unequal clustering schemes; wireless sensor network; Clustering algorithms; Data communication; Energy consumption; Energy efficiency; Load management; Power engineering and energy; Relays; Sensor phenomena and characterization; Spread spectrum communication; Wireless sensor networks; clustering; energy consumption balancing; load balancing; network lifetime; wireless sensor network;
Conference_Titel :
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3507-4
DOI :
10.1109/CSIE.2009.816