WoS İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12416/8653
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Book Part Throughput Improvement in Mobile Ad Hoc Networks Using Cognitive Methods(Crc Press-taylor & Francis Group, 2015) Preveze, Barbaros; Preveze, Barbaros; Elektrik-Elektronik MühendisliğiArticle A Novel High-Performance Traffic Load Management Method: Error Rate Based Window Size Adjustment(Springer, 2025) Preveze, BarbarosBy introducing all IP networks together with IP TVs, smart homes, mobile phones, smartwatches, vehicle communication systems, etc. The demand for internet-based applications has increased which has also produced an increasing demand for bandwidth requirements in packet-switched networks. Thus, improving the system performance is now more important to gain more available bandwidth on the system. In the literature, many studies try to improve network performance for this reason using either hardware or software updates. But instead of having hardware-based modifications requiring more financial support, modifications of the methods used in network structures are much more preferred. In this study, a novel congestion control method called Error Rate Based Window Size Adjustment (ERBWSA) is proposed to be implemented on packet-switched networks which yields an improved system throughput performance by dynamic adjustment on the window size (cwnd) according to the probability of packet error rate.Article Citation - Scopus: 1A Novel Cognitive Method for Throughput Improvement of Mobile Multi-Hop Ad Hoc Networks(Springer, 2015) Preveze, BarbarosWe had previously defined a novel cognitive method for throughput improvement of IEEE 802.16j mobile multi-hop ad-hoc network which enables better management of the spectral access and buffer management of the nodes in the network. By this method we had minimized the packet loss ratio and improved the throughput of IEEE 802.16j network. In this study, a novel cognitive buffer management algorithm is proposed that arranges the packets stored in the buffers of the nodes in a probabilistic way and selects correct packet of the correct node to transmit first to provide fewer packet losses and also fewer average hop-counts for more throughputs. It is shown that the novel proposed buffer management algorithm provides about 19.45 % more throughput improvement (on average) with respect to the results evaluated by the buffer management algorithm used before (which was also shown to provide 12 % throughput improvement with respect to a First In First Out buffer management algorithm). All the results evaluated in this study are also confirmed by the results of analytical calculations, the results of the developed simulation program and the results evaluated in the literature.