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1
Quality of service in mobile IP networks with parametric multi-channel routing algorithms based on linear programming approach
Published 2018“…In other words, uncontrolled node movements in a Mobile IP network cause network failure, and nonoptimized mobile node movements from a Foreign Network to another Foreign Network lead to an increase in handoff latency. …”
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2
Cloudlet deployment and task offloading in mobile edge computing using variable-length whale and differential evolution optimization and analytical hierarchical process for decisio...
Published 2023“…Comparing this developed algorithm with other algorithms shows its superiority in multi-objective optimization (MOO) evaluation metrics. …”
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3
Deep Learning-Driven Mobility And Utility-Based Resource Management In Mm-Wave Enable Ultradense Heterogeneous Networks
Published 2025thesis::doctoral thesis -
4
Mobile data gathering algorithms for wireless sensor networks
Published 2014“…In this research, a Mobile Data Gathering based Network Layout (MDG-NL) algorithm is proposed. …”
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5
Evolution of RF-signal cognition for wheeled mobile robots using pareto multi-objective optimization
Published 2009“…A mobile robot is simulated in a 3D, physics-based environment for the RF-localization behavior. …”
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6
Development of a motion planning and obstacle avoidance algorithm using adaptive neuro fuzzy inference system for mobile robot navigation
Published 2017“…Firstly, a new sensor-based online approach is planned to reach the first and second objective of the research. …”
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7
Joint optimization of resources allocation for quality of service aware next-generation heterogeneous cellular networks / Hayder Faeq Rasool Alhashimi
Published 2025“…Finally, a State-Action-Reward-State-Action (SARSA) algorithm, which is a reinforcement learning approach, is proposed to solve the power allocation optimization problem. …”
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8
Electroencephalogram signal interpretation system for mobile robot
Published 2013“…After 30 GA runs, the optimal four sets of electrodes are chosen based on their coefficient of determination or r² values, where higher values contributes to higher repetition rates. …”
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9
A selective approach for energy-aware video content adaptation decision-taking engine in android based smartphone
Published 2019“…Thus, QoE can be improved. To evaluate EnVADE algorithm in term of energy efficiency, an experimental evaluation has been done. …”
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10
A selective approach for energy-aware video content adaptation decision-taking engine in android based smartphone
Published 2019“…Thus, QoE can be improved. To evaluate EnVADE algorithm in term of energy efficiency, an experimental evaluation has been done. …”
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11
Task offloading paradigm in mobile edge computing-current issues, adopted approaches, and future directions
Published 2023“…For each journal paper, the detailed information of the work area, targeted issue, formulation technique, optimization approach, adopted algorithms, evaluation techniques, performance matrices, dataset, utilized tools, and framework are extracted and analyzed using manual and automatic coding. …”
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12
Controller placement problem in the optimization of 5G based SDN and NFV architecture
Published 2021“…If the control plane fails to improve system resilience quality, A reliable RAMCP is formulated as an optimal solution for fault tolerance. Furthermore, the approach is extended with a Particle Swarm Algorithm (PSO) and presented as a hybrid RASCP to validate the optimal location and number of controllers. …”
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13
Adaptive manet OLSR routing protocol for optimal route selection in high dynamic network
Published 2020“…To provide the necessary robustness, a new Cluster-based Adoptive Cooperative Algorithm (CACA) for VANET is introduced to improve the scalability of the network and reduce control overhead. …”
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14
Traffic signal control with deep reinforcement learning
Published 2025“…Furthermore, this project explores the improvement of Soft Actor Critic (SAC) with gradient-based meta learning (GBML) method. Comprehensive experiments are conducted on Simulation of Urban Mobility (SUMO) to evaluate the effectiveness of the algorithm.…”
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Efficient management of Top-k queries over Uncertain Data Streams with dynamic Sliding Window Model
Published 2024“…Current research on tackling uncertainty revolves around creating specifically tailored algorithms that can operate in the presence of value uncertainty using both a count-based and a time-based approach. …”
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16
Multi-criteria optimization framework for cloudlet computing in WMANs: integrating VL-WIDE and AHP for enhanced decision-making
Published 2026“…The proposed approach reduced execution and wireless delays by 40% (0.00015 s vs. 0.00025 s) compared to random selection, decreased mobile device energy consumption by 36.9% (118.69 Jol vs. 188.17 Jol), and demonstrated a 33.3% reduction in average renting rates compared to other algorithms. …”
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17
The classification of wink-based eeg signals by means of transfer learning models
Published 2021“…Whilst it was observed that the optimized k-NN model based on the aforesaid pipeline could achieve a classification accuracy of 100% for the training, validation, and tes t data. …”
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18
Efficient hybrid flooding scheme for ad-hoc on-demand distance vector routing protocol in MANET
Published 2014“…Another prominent approach is the Dominant Pruning (DP) which is a distributed dominating set algorithm developed to alleviate the impact of flooding in mobile ad-hoc networks. …”
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19
Optimising Connectivity and Energy : The Future of LoRaWAN Routing Protocols for Mobile IoT Applications
Published 2025“…This study provides a comprehensive review of energy-efficient routing algorithms for LoRaWAN in mobile IoT applications. …”
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20
Framework for stream clustering of trajectories based on temporal micro clustering technique
Published 2018“…The proposed functions for the offline phase are the detection of spatial and spatiotemporal outliers and the macro clustering. A comprehensive experimental analysis was conducted to evaluate the efficiency and effectiveness of the proposed algorithms (ONF-TRS, CC-TRS). …”
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