Kablosuz Algılayıcı Ağlarda Makine Öğrenme Tabanlı Çok Kriterli Yönlendirme

摘要

Wireless Sensor Networks consist of many sensor nodes. It is also a type of network where nodes communicate with each other and central point data is transmitted. These networks are usually designed to collect information about indoor or outdoor environments. Due to the large number of nodes and problems with energy consumption, effective routing algorithms and network designs need to be implemented in transferring the data center point. In this study, the routing process has been realized with the Q-Learning algorithm which is the machine learning algorithm in order to transfer the data over the most effective routing. Wireless Sensor Network nodes have been compared of performances by examining the status of existing routing protocols with increasing number of nodes.