Life time sensitive weighted clustering on wireless sensor networks

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Tezin Türü: Yüksek Lisans

Tezin Yürütüldüğü Kurum: Orta Doğu Teknik Üniversitesi, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümü, Türkiye

Tezin Onay Tarihi: 2013

Öğrenci: ELNAZ ALIZADEH JARCHLO

Danışman: CÜNEYT FEHMİ BAZLAMAÇCI

Özet:

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.