LDA
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Implementation of Loss Discrimination Algorithm Using Machine Learning Approach for Wireless TCP Enhancement
Abstract: AbstractIn wired network packet losses are due to network congestion whereas in wireless network, it can be due to variable bandwidth, network topology, host mobility, network error etc. Transmission Control Protocol (TCP) is used to handle wired and wireless network. This conventional TCP consider any loss as congestion loss whatever may be the reason behind loss and to control the loss it simply reduces the congestion window size (Cw) which …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 7, Issue 3, 2020 · pp. 35–38 Read article
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Weighted Latent Dirichlet Allocation, an Optimized and Generalized Probabilistic Topic Model
Abstract: In this study, we have introduced a new distribution named as Mixture Weighted Dirichlet Distribution (MWDD) which acts as generalization to other distributions viz. Dirichlet Distribution, Length or Size-Biased Dirichlet, Area Biased and Volume Biased Dirichlet distributions. Aim of this research is to introduce and implement MWDD for Probabilistic Topic Modeling of Corpus of textual data as an optimized as well as generalized probabilistic topic model. Various statistical and structural …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 1, 2018 · pp. 18–31 Read article
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TCP Performance Analysis by Loss Differentiation Algorithm over Lossy Wireless Links
Abstract: TCP continues to be an important transport-layer communication protocol that is typically tuned to perform well in traditional wired networks, where bit error rate is low and congestion is the primary cause of packet loss. Wireless networks are prone to High BER, which is responsible for large number of packet losses. TCP incorrectly interprets these losses as signs of network congestion and throttles its transmission rate unnecessarily, which degrades end-to-end …
Published in Journal of Advances in Shell Programming · Vol. 2, Issue 3, 2015 · pp. 37–44 Read article