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  1. 1
    A green clustering protocol for mobile sensor network using particle swarm optimization

    A green clustering protocol for mobile sensor network using particle swarm optimization by Latiff, N.M.A., NikAbdMalik, N., Latiff, A.H.A.

    Published 2016
    “…One of the methods that can improve the utilization of sensor nodes batteries is the clustering method. In this paper, we propose a green clustering protocol for mobile sensor networks using particle swarm optimization (PSO) algorithm. …”
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  2. 2
    A green clustering protocol for mobile sensor network using particle swarm optimization

    A green clustering protocol for mobile sensor network using particle swarm optimization by Latiff, N.M.A., NikAbdMalik, N., Latiff, A.H.A.

    Published 2016
    “…One of the methods that can improve the utilization of sensor nodes batteries is the clustering method. In this paper, we propose a green clustering protocol for mobile sensor networks using particle swarm optimization (PSO) algorithm. …”
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  3. 3
    An efficient network mobility management for a 6LoWPAN mobile network in hospital environments

    An efficient network mobility management for a 6LoWPAN mobile network in hospital environments by Shahamabadi, Mohammadreza Sahebi

    Published 2017
    “…The second scheme is a message-scheduling algorithm based on route optimization in tunnelling process between the MNNs and HA to decrease the traffic congestion at MR and packet end-toend delay. …”
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  4. 4
    Prolonging lifetime of wireless sensor networks with mobile base station using particle swarm optimization

    Prolonging lifetime of wireless sensor networks with mobile base station using particle swarm optimization by Nurul Adilah, Abdul Latiff, Nurul Mu’azzah, Abdul Latiff, Dr., R. Badlishah, Ahmad, Prof. Madya Dr.

    Published 2011
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  5. 5
    Mobile Nodes based Clustering Protocol for Lifetime Optimization in Wireless Sensor Network

    Mobile Nodes based Clustering Protocol for Lifetime Optimization in Wireless Sensor Network by Nazir, Babar, Hasbullah, Halabi

    Published 2010
    “…In this paper, we explored clustering in terms of energy efficiency for mobile WSN and proposed Mobile Nodes based Clustering Protocol for Lifetime Optimization in Wireless Sensor Network (MNCP). …”
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  6. 6
    Wireless sensor nodes deployment using multi-robot based on improved spanning tree algorithm

    Wireless sensor nodes deployment using multi-robot based on improved spanning tree algorithm by Arezoumand, Reza

    Published 2015
    “…One of the solutions to this problem is by using mobile robots with concern on exploration algorithm for mobile robot. …”
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  7. 7
    A noble approach of ACO algorithm for WSN

    A noble approach of ACO algorithm for WSN by Sharmin, Afsah, Anwar, Farhat, Motakabber, S. M. A.

    Published 2018
    “…The proposed algorithm has been simulated and verified utilizing MATLAB and the simulation results demonstrate that new ant colony optimization based algorithm can achieve better performance and faster convergence to determine the best cost route.…”
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  8. 8
    Indoor localization system using particle swarm optimization

    Indoor localization system using particle swarm optimization by Alhammadi, Abdulraqeb Shaif Ahmed, Hashim, Fazirulhisyam, Shami, Tareq M.

    Published 2015
    “…The simulation results show the effectiveness of the suggest algorithm on average location error.…”
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  9. 9
    Mobile data gathering algorithms for wireless sensor networks

    Mobile data gathering algorithms for wireless sensor networks by Ghaleb, Mukhtar Mahmoud Yahya

    Published 2014
    “…In this research, a Mobile Data Gathering based Network Layout (MDG-NL) algorithm is proposed. …”
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  10. 10
    Energy-efficient scalable routing protocol based on ACO for WSNS

    Energy-efficient scalable routing protocol based on ACO for WSNS by Sharmin, Afsah, Anwar, Farhat, Motakabber, S. M. A.

    Published 2019
    “…An energy-efficient scalable routing algorithm based on ant colony optimization (ACO) for WSNs is presented here to find the optimal path of data transmission while consuming less energy leading to increase of network’s lifetime. …”
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  11. 11
    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
    “…The simulation and comparison results indicate the superiority of the proposed algorithm. …”
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  12. 12
    Efficient and scalable ant colony optimization based WSN routing protocol for IoT

    Efficient and scalable ant colony optimization based WSN routing protocol for IoT by Sharmin, Afsah, Anwar, Farhat, Motakabber, S. M. A.

    Published 2020
    “…For this reason, many intelligent systems have been utilized to design routing algorithms to handle the network's dynamic state. In this paper, an ant colony optimization (ACO) based WSN routing algorithm for IoT has been proposed and analyzed to enhance scalability, to accommodate node mobility and to minimize initialization delay for time critical applications in the context of IoT to find the optimal path of data transmission, improvising efficient IoT communications. …”
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  13. 13
    A novel bio-inspired routing algorithm based on ACO for WSNs

    A novel bio-inspired routing algorithm based on ACO for WSNs by Sharmin, Afsah, Anwar, Farhat, Motakabber, S. M. A.

    Published 2019
    “…A novel approach of ant colony optimization (ACO) algorithm for discovering the optimum route for information transmission in the WSNs is proposed here for optimization and enhancement. …”
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  14. 14
    A spawn mobile agent itinerary planning approach for energy-efficient data gathering in wireless sensor networks

    A spawn mobile agent itinerary planning approach for energy-efficient data gathering in wireless sensor networks by Q. Qadori, Huthiafa, Ahmad Zulkarnain, Zuriati, Mohd Hanapi, Zurina, Subramaniam, Shamala

    Published 2017
    “…The MA-based approach employs two algorithms: Single-agent Itinerary Planning (SIP) and Multi-mobile agent Itinerary Planning (MIP) for energy-efficient data gathering. …”
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  15. 15
    Node placement strategy in wireless sensor network

    Node placement strategy in wireless sensor network by Ahmad, Puteri Azwa, Mahmuddin, Massudi, Omar, Mohd Hasbullah

    Published 2013
    “…Node placement influences the target position, coverage area, and connectivity in sensor networks.In random deployment, sensor nodes are deployed randomly in a non-invasive way.The deployment process may cause issues like coverage holes, overlapping, and connectivity failure.Enhancing coverage and connectivity are important for sensor networks to provide a reliable communication within sensing.Placing many sensor nodes in a WSN application region area is not the best solution due to cost and it results in multiple sensors used.Mobile sensor node is used as an alternative to overcome the random deployment problem.The virtual force based self node deployment is used in the mobility sensor to improve the coverage and connectivity area.Virtual Force Algorithm (VFA) approach using virtual repulsive and attractive forces is used to find the optimal node placement to minimize the problems. …”
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  16. 16
    Data Encryption-Enabled Cloud Cost Optimization and Energy Efficiency-Based Border Security Model

    Data Encryption-Enabled Cloud Cost Optimization and Energy Efficiency-Based Border Security Model by Alomari M.F., Mahmoud M.A., Yusoff Y.B., Gharaei N., Abdalla R.A., Gunasekaran S.S.

    Published 2024
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  17. 17
    An energy efficient reinforcement learning based cooperative channel sensing for cognitive radio sensor networks

    An energy efficient reinforcement learning based cooperative channel sensing for cognitive radio sensor networks by Mustapha, Ibrahim, Mohd Ali, Borhanuddin, Sali, Aduwati, A. Rasid, Mohd Fadlee, Mohamad, Hafizal

    Published 2017
    “…Simulation results show convergence and adaptability of the algorithm to dynamic environment in achieving optimal solutions. …”
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  18. 18
    Mobility-aware Offloading Decision For Multi-access Edge Computing In 5g Networks

    Mobility-aware Offloading Decision For Multi-access Edge Computing In 5g Networks by Saeid Jahandar, Lida Kouhalvandi, Ibraheem Shayea, Mustafa Ergen, Marwan Hadri Azmi, Hafizal Mohamad

    Published 2024
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  19. 19
    Predetermined path of mobile data gathering in wireless sensor networks based on network layout

    Predetermined path of mobile data gathering in wireless sensor networks based on network layout by Ghaleb, Mukhtar, Subramaniam, Shamala, Othman, Mohamed, Ahmad Zulkarnain, Zuriati

    Published 2014
    “…Extensive discrete-event simulations have been developed to assess the performance of the proposed algorithm. …”
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  20. 20
    Artificial neural controller synthesis for TORCS

    Artificial neural controller synthesis for TORCS by Shi, Jun Long

    Published 2015
    “…The results showed: (1) DE hybrid FFNN could generate optimal controllers, (2) the proposed fitness function had successfully generated the required car's racing controllers, (3) the proposed minimization algorithm had been successfully minimize the number of RF sensors used, (4) the PDE algorithm could be implemented to generate optimal solutions for car racing controllers, and (5) the combination of components for average car speed and distance between the car and track axis is very important compared to other components. …”
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