Title :
A dynamic clustering construction for wireless sensor networks
Author :
Capo-Chichi, Eugene Pamba ; Martins, David ; GUyennet, Hervé ; Felea, Violeta
Author_Institution :
Comput. Sci. Dept., Univ. of Franche-Comte, Franche-Comte
Abstract :
Research in sensor networks has focused on development of energy efficient infrastructures. In this article, we introduce a new approach to organize sensor networks in clusters in order to reduce energy dissipation. Our contribution is an heuristic to define the number of clusters and also an efficient manner to choose cluster heads by minimizing the distance between cluster heads and its cluster nodes. Inspired from LEACH, a wellknown TDMA cluster-based sensor network architecture, we introduce a new method for building and maintaining clusters using the paradigm of a soccer team. In this work, a new algorithm called OH-K-means, based on the K-means algorithm, is used to find dynamically the number of clusters and form them, guaranteeing direct transmission between cluster heads and cluster nodes.
Keywords :
time division multiple access; wireless sensor networks; K-means algorithm; cluster heads; cluster nodes; dynamic clustering construction; energy dissipation reduction; energy efficient infrastructures; sensor network architecture; soccer team; wireless sensor networks; Clustering algorithms; Computer science; Energy consumption; Energy dissipation; Energy efficiency; Protocols; Radio communication; Switches; Time division multiple access; Wireless sensor networks; Wireless sensor networks; clustering; energy-efficient algorithms; security;
Conference_Titel :
Collaborative Technologies and Systems, 2009. CTS '09. International Symposium on
Conference_Location :
Baltimore, MD
Print_ISBN :
978-1-4244-4584-4
Electronic_ISBN :
978-1-4244-4586-8
DOI :
10.1109/CTS.2009.5067528