KABLOSUZ ALGILAYICI AĞLARINDA ALICI-VERİCİLERİN ORANSAL-İNTEGRAL DENETLEYİCİLER İLE GÖREV DÖNGÜSÜ

Algılayıcı düğümlerinin enerji tüketimi, görev çevrimi tekniği olarak adlandırılan alıcı-vericilerinin etkinleştirilip kapatılmasıyla oldukça düşürülebilir. Ancak görev çevriminin uygulanması kolay değildir çünkü düğümler alıcı vericilerini etkinleştirmek için verinin ne zaman geleceğini önceden bilmek zorundadırlar. Bu makalede, düğümler arasında sabit bir devirde haberleşme olduğu varsayılarak, düğümler arasında açık bir saat eşzamanlaması gerektirmeyen verimli bir görev çevrimi tekniği tanıtılmaktadır. Daha iyi ifade edilecek olunursa, bu makale güncel literatürde oransal-integral tabanlı görev çevrimini tanıtan bilgimiz dahilindeki ilk makaledir. Önerilen yöntemin en önemli avantajı hesaplama ve bellek yükü açısından oldukça hafif olmasıdır. Önerilen yöntem derinlemesine bir matematiksel analizle desteklenmiş ve analizlerin doğruluğu benzetimler aracılığıyla gösterilmiştir

Anahtar Kelimeler:

Kablosuz

DUTY CYCLING OF TRANSCEIVERS IN WIRELESS SENSOR NETWORKS USING PROPORTIONALINTEGRAL CONTROLLERS

The energy consumption of the sensor nodes can be reduced considerably by turning on and off their transceivers, the so called duty-cycling. However, the difficulty of duty-cycling is that nodes should know beforehand when data is coming and then they need to switch on their transceivers to receive the incoming data. In this article, we assume a periodic communication between two sensor nodes at a fixed frequency and introduce an efficient duty-cycling technique that does not require explicit time synchronization between the nodes. More precisely, up to our knowledge, this is the first article in the current literature proposing a proportional-integral controller-based duty-cycling mechanism. A desirable property of this technique is that it is lightweight in terms of computation and memory overhead. We support our article by providing an extensive mathematical analysis of our technique and show the correctness of our analysis through simulations

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