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Self Organizing Sensor networks using intelligent clustering

Authors
Shin, KwangcheolAbraham, AjithHan, Sang Yong
Issue Date
2006
Publisher
SPRINGER-VERLAG BERLIN
Citation
COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2006, PT 4, v.3983, pp 40 - 49
Pages
10
Journal Title
COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2006, PT 4
Volume
3983
Start Page
40
End Page
49
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/65458
DOI
10.1007/11751632_5
ISSN
0302-9743
Abstract
Minimization of the number of cluster heads in a wireless sensor network is a very important problem to reduce channel contention and to improve the efficiency of the algorithm when executed at the level of cluster-heads. This paper proposes a Self Organizing Sensor (SOS) network based on an intelligent clustering algorithm which does not require many user defined parameters and random selection to form clusters like in Algorithm for Cluster Establishment (ACE) [2]. The proposed SOS algorithm is compared with ACE and the empirical results clearly illustrate that the SOS algorithm can reduce the number of cluster heads.
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