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  1. 1
    A comprehensive overview of classical and modern route planning algorithms for self-driving mobile robots

    A comprehensive overview of classical and modern route planning algorithms for self-driving mobile robots by Wan Daud, Wan Mohd Bukhari, Abu, Nur Syuhadah, Omar, Siti Nashayu, Sohaimeh, Shahirul Ashraf, Adli,, M. H.

    Published 2022
    “…In this study, we outline the ideas, benefits, and downsides of modeling and path-searching technologies for a mobile robot.…”
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  2. 2
    A hybrid sampling-based path planning algorithm for mobile robot navigation in unknown environments

    A hybrid sampling-based path planning algorithm for mobile robot navigation in unknown environments by Khaksar, Weria

    Published 2013
    “…After optimizing the proposed fuzzy model by means ofgenetic algorithm, the resulted planner produces shorter paths in shorter runtimes with limited variations in results of different runs of the planner. …”
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  3. 3
    Performance evaluation of LTE scheduling techniques for heterogeneous traffic and different mobility scenarios

    Performance evaluation of LTE scheduling techniques for heterogeneous traffic and different mobility scenarios by Sukeran, Lukmanhakim, Habaebi, Mohamed Hadi, Zyou, Al-Hareth, Ahmed, Musse Mohamud, Hameed, Shihab A, Azman, Amelia Wong, Islam, Md Rafiqul

    Published 2015
    “…Results indicate that the scheduling algorithms showed some quality in certain parameter of evaluation but lack in other terms. …”
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  4. 4
    Performance evaluation of LTE scheduling techniques for heterogeneous traffic and different mobility scenarios

    Performance evaluation of LTE scheduling techniques for heterogeneous traffic and different mobility scenarios by Sukeran, Lukmanhakim, Habaebi, Mohamed Hadi, Zyoud, Al-Hareth, Musse, Mohamud Ahmed, Hameed, Shihab A., Azman, Amelia Wong, Islam, Md. Rafiqul

    Published 2014
    “…Results indicate that the scheduling algorithms showed some quality in certain parameter of evaluation but lack in other terms. …”
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  5. 5
    Solving the optimal path planning of a mobile robot using improved Q-learning

    Solving the optimal path planning of a mobile robot using improved Q-learning by Low, Ee Soong, Ong, Pauline, Cheah, Kah Chun

    Published 2019
    “…Additionally, the effectiveness of the proposed algorithm is validated in a real-world experiment using a three-wheeled mobile robot.…”
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  6. 6
    Artificial Bee Colony for Minimizing the Energy Consumption in Mobile Ad Hoc Network

    Artificial Bee Colony for Minimizing the Energy Consumption in Mobile Ad Hoc Network by Tareq, M., Abed, S.A., Sundararajan, E.A.

    Published 2019
    “…For evaluation purposes, the proposed model has been applied on two protocols, i.e. the Destination-Sequenced Distance-Vector Routing (DSDV) and Ad hoc On-demand Distance-Vector (AODV). …”
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  7. 7
    Design And Development Of Collision Avoidance Strategy For Differential Drive Mobile Robot

    Design And Development Of Collision Avoidance Strategy For Differential Drive Mobile Robot by Ng, Sing Yee

    Published 2018
    “…Two algorithms, namely Artificial Potential Filed (APF) and Bug 2 are integrated into the model with an ultrasonic sensor to detect and avoid the obstacles. …”
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  8. 8
    Mobile Crowd Steering Evacuation Model via Agent Based Simulation by Applying the Social Force Model

    Mobile Crowd Steering Evacuation Model via Agent Based Simulation by Applying the Social Force Model by Norhaida, Binti Hussain, Wai Shiang, Cheah, Wai Loke, Seng

    Published 2025
    “…Simulation models can help policymakers evaluate evacuation plans by assessing their efficacy. …”
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  9. 9
    Development of a motion planning and obstacle avoidance algorithm using adaptive neuro fuzzy inference system for mobile robot navigation

    Development of a motion planning and obstacle avoidance algorithm using adaptive neuro fuzzy inference system for mobile robot navigation by Muslim, Farah Kamil Abid

    Published 2017
    “…This would allow the FLC to generate a local path for an obstacle avoidance system unique to mobile robot navigation in dynamic environments. …”
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  10. 10
    A new multicast-based architecture to support host mobility in IPv6

    A new multicast-based architecture to support host mobility in IPv6 by M. Ali, Borhanuddin, Habaebi, Mohamed Hadi, AI-Talib, Sahar

    Published 2003
    “…A new multicast group joidleave mechanism for mobile nodes (MNs) is proposed. The mechanism is based on hash algorithm. …”
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  11. 11
    Discrete simulation framework for wireless cellular networks.

    Discrete simulation framework for wireless cellular networks. by Al-Sanabani, Maher Ali, K. Subramaniam, Shamala, Othman, Mohamed, Ahmad Zulkarnain, Zuriati

    Published 2008
    “…In order to evaluate and validate the performance of the designed simulator, a simulation model for the wireless cellular network and mobile environment deployed. …”
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  12. 12
    Mitigating malicious nodes using trust and reputation based model in wireless sensor networks

    Mitigating malicious nodes using trust and reputation based model in wireless sensor networks by Abdullah, Muhammad Daniel Hafiz

    Published 2018
    “…Results gained from the performance evaluation show that the proposed models able to improve PDR, selection accuracy, path length, node’s trust value and significantly reduced the packet loss rate. …”
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  13. 13
    A new multicast-based architecture to support host mobility in IPv6

    A new multicast-based architecture to support host mobility in IPv6 by Mohd Ali, Borhanuddin, Habaebi, Mohamed Hadi, Al-Talib, Sahar Abdul Aziz

    Published 2003
    “…A new multicast group join/leave mechanism for mobile nodes (MNs) is proposed. The mechanism is based on hash algorithm. …”
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  14. 14
    Adaptive manet OLSR routing protocol for optimal route selection in high dynamic network

    Adaptive manet OLSR routing protocol for optimal route selection in high dynamic network by Al-Kharasani, Nori Mohammed Abdulkarem

    Published 2020
    “…The proposed Quality of Path QoP metric is incorporated into the modified relay selection algorithm, which improves the efficiency of relay selection mechanism to find optimal path with high link quality. …”
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  15. 15
    State-Aware re-configuration model for multi-radio wireless Mesh Networks

    State-Aware re-configuration model for multi-radio wireless Mesh Networks by Zakaria, Omar, Hassan Abdalla Hashim, Aisha, Hassan, Wan Haslina, Khalifa, Othman Omran, Azram, Mohammad, Goudarzi, Shidrokh, Jivanadham, Lalitha Bhavani, Zareei, Mahdi

    Published 2017
    “…In order to adapt to traffic dynamics in the network which might be caused by many factors i.e. users’ mobility, a centralized heuristic re-configuration algorithm called State-Aware Joint Routing and Channel Assignment (SA-JRCA) is proposed in this research based on our re-configuration model. …”
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  16. 16
    Channel Modeling and Direction-of-Arrival Estimation in Mobile Multiple-Antenna Communication Systems

    Channel Modeling and Direction-of-Arrival Estimation in Mobile Multiple-Antenna Communication Systems by Ravari, Arastoo Rostami

    Published 2005
    “…The model can be applied to evaluate smart antenna systems and beamforming algorithms in the uplink by generating uncorrelated multipaths Rayleigh fading waveforms with certain spatio-temporal correlation and spatial coordinates relative to base stations to simulate received signals from mobiles and interferers. …”
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  17. 17
    Backhaul load and performance optimality of partial joint processing schemes in LTE-A networks

    Backhaul load and performance optimality of partial joint processing schemes in LTE-A networks by Kousha, Mohammad

    Published 2014
    “…In this thesis, Centralized and Partial Joint Processing are mathematically defined and evaluated for both JT and DPS in a multi-path environment using the WINNER II channel model which has been developed for LTE-Advanced. …”
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  18. 18
    Performance comparison between genetic algorithm and ant colony optimization algorithm for mobile robot path planning in global static environment / Nohaidda Sariff

    Performance comparison between genetic algorithm and ant colony optimization algorithm for mobile robot path planning in global static environment / Nohaidda Sariff by Sariff, Nohaidda

    Published 2011
    “…Due to the importance of global path planning in mobile robot navigation systems, the research presented herewith focused on the optimization problem of path planning for mobile robots. …”
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  19. 19
    Cognitive map approach for mobility path optimization using multiple objectives genetic algorithm

    Cognitive map approach for mobility path optimization using multiple objectives genetic algorithm by Krishnan P.S., Paw J.K.S., Kiong T.S.

    Published 2023
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  20. 20
    An Energy-Efficient Cross-Layer approach for cloud wireless green communications

    An Energy-Efficient Cross-Layer approach for cloud wireless green communications by Sadiq, Ali Safa, Almohammad, Turfah Zeyad, Rabiatul Adawiah, Muhamed Khadri, Ahmed, Abdulghani Ali, Lloret, Jaime

    Published 2017
    “…We conduct the experiment using Matlab to evaluate the effectiveness of our proposed approach in terms of power consumption and obtained data rate. …”
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