Kapasite Farkında Topoloji Kontrol Algoritmalarının Telsiz Duyarga Ağlarında Deneysel Analizi

Yıl 2020, Cilt: 13 Sayı: 2, 32 - 46, 16.12.2020

Mustafa Aşçı , Can İleri Orhan Dağdeviren

Öz

Haberleşme, telsiz duyarga ağları (TDA’lar) üzerinde çalışan duyarga düğümlerinin enerji tüketiminde en önemli etmendir. Haberleşmeyi en aza indirip, enerji etkinliği sağlamak amacıyla yoğun bağlı ağlar, seyrek bağlı bir ağa dönüştürülür. Bu dönüşüm için kullanılan yöntemlerden biri de topoloji kontrolüdür. Topoloji kontrolü yöntemiyle genelde TDA’lar için kapsayan ağaç oluşturulmaktadır. Kapsayan ağaçlardan kapasite kısıtını sağlayan, en düşük maliyetli ağacı bulmayı hedefleyen problem, kapasite kısıtlı en küçük ağaç (KEKA) problemidir. Alt ağaçların arasındaki yük dengesi, ağdaki mesaj sayısını ve enerji etkinliğini etkilemektedir. Bu çalışmada, TDA’lar üzerinde KEKA algoritmalarının performansı ve yük dengesi analiz edilmiştir. Esau-Williams algoritması referans alınarak geliştirilen merkezi CENTEW ve dağıtık MCO algoritmaları TOSSIM simülatörü üzerinde yük dengesi, gönderilen ve alınan mesaj boyutu, harcanan enerji ve geçen zaman kapsamlarında karşılaştırılmıştır. 250 düğümlük ağlar üzerinde yapılan deneysel sonuçlara göre CENTEW daha az zaman harcamasına rağmen MCO, 3,98 kat daha az enerji kullanmaktadır. Dağıtık KEKA yaklaşımının enerji-etkin olduğu ve yük dengesini sağladığı görülmüştür.

Anahtar Kelimeler

Telsiz Duyarga Ağları, Kapasite Kısıtlı Kapsayan En Küçük Ağaç Problemi, Enerji Etkin ve Dengeli Ağlar, Ağ Tasarımı, Topoloji Kontrolü, Esau-Williams Sezgiseli

Destekleyen Kurum

TÜBİTAK

Proje Numarası

215E115

Teşekkür

Bu çalışma, 215E115 nolu proje kapsamında TÜBİTAK tarafından desteklemiştir.

Experimental Analysis of Capacity Aware Tree Based Topology Control Algorithms for Wireless Sensor Networks

Öz

Communication is the most important factor in the energy consumption of sensor nodes running on wireless sensor networks (WSNs). Densely connected networks are transformed into a sparsely connected network to minimize communication and provide energy efficiency. One of the methods used for the transformation is topology control. Topology control method generally provides a spanning tree for WSNs. The problem that aims to find the minimum spanning tree that provides capacity constraint is the capacitated minimum spanning tree (CMST) problem. Balancing the loads of subtrees affects the number of messages in the network and henceforth the energy-efficiency. In this study, we analyze the performance and load-balancing performance between subtrees of CMST algorithms on WSNs. The central CENTEW and distributed MCO algorithms developed based on the Esau-Williams algorithm are compared in terms of load balancing performance, sent and received message size, spent energy and elapsed time on TOSSIM simulator. According to the experimental results on 250-node networks, CENTEW uses less than 3.98 times less energy than MCO, although it consumes less time. The distributed CMST approach is energy-efficient and balances load more evenly.

Anahtar Kelimeler

Wireless Sensor Networks, Capacitated Minimum Spanning Tree Problem, Energy Efficient and Load Balanced Networks, Network Design, Topology Control, Esau-Williams Heuristic

Proje Numarası

215E115

Kaynakça

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