Life time sensitive weighted clustering on wireless sensor networks

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2013
Alizadeh Jarchlo, Elnaz
Wireless Sensor Networks typically include wireless sensor nodes with limited energy. Network lifetime and scalability are considered as two significant requirements for sensor network applications. In order to decrease energy consumption and increase network lifetime one can apply an efficient clustering method. The application of the clustering method proposed in this thesis (LTS-WCA) leads to reducing the energy cost and the transmission distance of each node by grouping the nodes in several clusters and assigning specific cluster heads for each group. This study aims to compare existing clustering algorithms and make modifications to enhance their performance. The study includes the implementation of LTS-WCA, which is proposed within the scope of this work, in a simulation environment and its evaluation in order to demonstrate its effectiveness.

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Citation Formats
E. Alizadeh Jarchlo, “Life time sensitive weighted clustering on wireless sensor networks,” M.S. - Master of Science, Middle East Technical University, 2013.