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16 articles for “Topology optimization”
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Research ArticleOpen accessEvery word in the titleRoute Optimization using Hybrid GRU Learning Model for SDN and Edge-Based VANET TopologySavitha Kumar, Chandrasekar ChinnasamyIntelligent Transportation System (ITS) offersoutstanding features, including security applications and emergency alerts.Unfortunately, ITS limits traffic control services, adaptability, andadjustability due to the traffic volume. Hence, expanding the standard VehicularAd hoc Networks (VANET) framework is a requirement. As a result, in the latestdays, the concept of Software-Defined Networking based Vehicular Ad hocNetworks (SDN-VANETs) has drawn considerable attention, creating VANETssmarter. The SDN-VANETs … …Journal of Computer Science, Vol. 18, Issue 8 · 26 Aug 2022 · 6,160 accessesView PDFCite
Research ArticleOpen accessIn the keywordsProposing a Hybrid Topological Organization for Non-Misbehaving Nodes with Optimal Path Selection Using Game-Theoretic ApproachKanmani S, M. MuraliIn dynamic communication networks, improvement of energy efficiency is one of the major challenges for reliable communication. By considering this challenge, we focus to develop the topology of the network. In this study, we design a hybrid star-mesh topology for minimizing the latency as well as energy consumption of the network. In the hybrid network topology, the Ad-Hoc On-Demand Multipath … …Journal of Computer Science, Vol. 19, Issue 10 · 31 Aug 2023 · 5,397 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMINLP Optimization of Mechanical StructuresS. Šilih, T. Žula, Z. Kravanja, S. KravanjaWe presented optimization of mechanical structures, performed by the Mixed-Integer Nonlinear Programming (MINLP) optimization approach. The MINLP is a combined continuous/discrete optimization technique, where a structural topology and standard/discrete sizes are optimized simultaneously with the continuous variables. Ddiscrete binary 0-1 variables were used to express the discrete decisions. For solution of this non-linear, continuous/discrete and non-convex MINLP class of the … …American Journal of Applied Sciences, Vol. 5, Issue 1 · 31 Jan 2008 · 7,125 accessesView PDFCite
Research ArticleOpen accessIn the abstractTAGN-IDC: Implicit Discrete Constraints for Tsunami Aware Graph Neural Networks in Spatial Evacuation RoutingSularno, Wendi Boy, Putri Anggraini et al.Tsunami evacuation route requires rapid identification of safe evacuation paths under dynamically changing hazard conditions. A major challenge is incorporating hard binary road-blockage constraints caused by tsunami inundation while maintaining end-to-end differentiability for deep learning models. Existing approaches commonly rely on continuous relaxations or stochastic sampling techniques, which either compromise physical feasibility or increase computational complexity. This study proposes the … …Journal of Computer Science, Vol. 22, Issue 9 · 24 Sep 2026 · 704 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid Optimization to Trust Enhanced Secure Routing Optimization with IABC and CGWAA for MANETYuvaraja Panneer Selvam, Suganthi PerumalRouting in Mobile Ad Hoc Networks (MANET) presents significant challenges due to the dynamic nature of network topology. Optimal route selection and efficient route discovery are matched by effective routing in MANET. This study proposes a Hybrid Optimization to Trust-Enhanced Secure Routing Optimization (HO-TESRO) designed to address these challenges in IoT environments by integrating metrics such as link stability, bandwidth, … …Journal of Computer Science, Vol. 21, Issue 4 · 19 Mar 2025 · 4,983 accessesView PDFCite
Research ArticleOpen accessIn the abstractForecasting of Multistep Multivariate Financial Data Through GSO Algorithm Infused Vanilla LSTM ModelNikhitha Pai, Ilango Velchamy, Nithya B RameshPredicting time series in the financial domain requires using models that can do sequence processing tasks. One such model is the LSTM model which belongs to the family of deep learning networks. The performance measure of LSTM in a regression task is to bring down the error in the predicted values. In this study, a novel fused LSTM model integrating … …Journal of Computer Science, Vol. 19, Issue 7 · 10 Jul 2023 · 6,074 accessesView PDFCite
Literature ReviewOpen accessIn the abstractTopological Approaches to Mechatronic Systems: A ReviewJean Bosco Samon, Damasse Harold TchouazongAn interest in the mechanical topology approach is to reduce the mass considerably in order to minimize the costs of manufacturing, transporting and purchasing products. The same interest can be found in mechatronic topological approaches where many disciplines should be fit together, facing therefore many and variant constraints. Distinguish topological approaches are found in the literature. Many are more specific … …Journal of Mechatronics and Robotics, Vol. 6, Issue 1 · 24 Jan 2022 · 6,707 accessesView PDFCite
Review ArticleOpen accessIn the abstractReview of Charge Pump Topologies for Micro Energy Harvesting SystemsMichelle Lim Sern Mi, Md. Shabiul Islam, Jahariah Sampe, Sawal Hamid Md. AliThis paper reviews CMOS based charge pump topologies used within autonomous embedded micro-systems. These charge pump structures have evolved from its simplistic diode-tied, single-branches with major threshold drops to exponential type, dual-branches with sophisticated gate and substrate control for lower voltage operation. Published charge pumps are grouped based on architecture, operation principles and pump optimization techniques with their pros and … …American Journal of Applied Sciences, Vol. 13, Issue 5 · 26 May 2016 · 7,627 accessesView PDFCite
Research ArticleOpen accessIn the abstractLoss Monitoring of Star Topology Sensor Network Based on Scheduling Algorithm for Assessing Structural Health InformationMohammud Ershadul Haque, Mohammud Fauzi Mohammud Zain, Mohammud Abdul Hannan et al.Sensor network is the new invention for assessing civil building structural health information. The new challenge to sensor network: large volume of received data, analyzing result at the computing section, patient coverage area, accuracy and reliability of the system, real time response, optimization development. To cover the entire patient region, sensor topology network is as a key characteristic of Sensor … …American Journal of Applied Sciences, Vol. 10, Issue 12 · 5 Oct 2013 · 6,726 accessesView PDFCite
Research ArticleOpen accessIn the abstractMulticost Routing Approach in Wireless Ad hoc NetworksD. Loganathan, P. RamamoorthyProblem statement: A Wireless ad hoc network is a collection of autonomous movable nodes that communicate with each other over wireless links without any static infrastructure. In these networks there is no fixed topology because of the mobility of nodes, interference, multipath propagation and path loss. A variety of routing protocols and algorithm with varying network settings are analyzed to … …Journal of Computer Science, Vol. 8, Issue 10 · 30 Aug 2012 · 6,737 accessesView PDFCite