Kablosuz algılayıcı ağlar için yeni bir dinamik baz istasyonu konumlandırma yöntemi

Year 2017, Volume: 23 Issue: 5, 614 - 621, 20.10.2017

Kadir Tohma Yakup Kutlu İpek Abasıkeleş Turgut

Abstract

Kablosuz
algılayıcı ağlarda(KAA) düğümlerin nasıl ve ne şekilde haberleşeceklerinin yanı
sıra baz istasyonu konumlandırması da ağın enerji verimli olması, ağ yaşam
süresinin uzatılması ve bunlara bağlı olarak gönderilecek paket sayısının
artırılmasında önemli bir etkiye sahiptir. Bu çalışmada, ağda yer alan
düğümlerin konumu ile beraber enerjilerini de hesaba katan minimum hareketli
yeni bir dinamik baz istasyonu konumlandırma algoritması önerilmiş ve bu
algoritmanın başarımı hem K-means ve K-medoid gibi kümeleme algoritmaları
üzerinde hem de HEED hiyerarşik protokolü üzerinde çeşitli KAA parametreleri
kullanılarak ayrıntılı bir şekilde incelenmiştir. OMNeT++
ile simülasyonu yapılan çalışmanın sonucunda, dinamik baz istasyonu kullanımı
sayesinde, sabit baz istasyonu konumlandırmasına göre ağ yaşam süresinde
maksimumda %119.2’ye baz istasyonuna ulaşan paket sayısında ise maksimumda
%262.6’ya varan performans iyileştirmeleri sağlanmıştır.

Keywords

Kablosuz algılayıcı ağlar, Dinamik baz istasyonu, HEED, K-means, K-medoid

A novel dynamic base station positioning method for wireless sensor networks

Abstract

The
type of communication between the nodes in wireless sensor networks (WSN) as
well as the placement of the base stations has an important role on obtaining
energy efficiency, prolonging the network lifetime and dependently increasing
the number of forwarded packages in network. This study suggests a new dynamic
placement algorithm for base stations, which considers both the location and
the energy level of the nodes with minimum movements. The performance of this
algorithm is investigated comprehensively on different kinds of clustering
algorithms such as K-means and K-medoid as well as HEED by using various WSN parameters.
The simulations are
conducted using OMNeT++ simulation environment and the results show that the
proposed dynamic base station positioning algorithm yields better performance
than stable base station positioning, which reaches up to 119.2% and 262.6% on
network lifetime and the number of arrived packages to the base station,
respectively.

Keywords

Wireless sensor networks, Dynamic base station, HEED, K-means, K-medoid

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