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  1. 1
    Biologically inspired mobile agent-based sensor network (BIMAS)

    Biologically inspired mobile agent-based sensor network (BIMAS) by Ponnusamy, V., Low, T.J., Amin, A.H.M.

    Published 2014
    “…Sensor nodes deployed in a large topology require autonomous capabilities and scalability since frequent replacement of the nodes is almost impossible. …”
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  2. 2
    Wearable obstacle sensor for blind people with mobile application / Siti Sarah Hashim

    Wearable obstacle sensor for blind people with mobile application / Siti Sarah Hashim by Hashim, Siti Sarah

    Published 2020
    “…Therefore, the first objective was to develop Wearable Obstacle Sensor (WOS) to replace cane and My Sensor Detector (MSD) mobile application to replace the traditional method of finding things. …”
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    Entrepreneurship Project
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  3. 3
    Providing optimal percentage reduction in coverage for mobile sensor networks

    Providing optimal percentage reduction in coverage for mobile sensor networks by Amir Khan, M., Hasbullah, H., Nazir, B.

    Published 2014
    “…Just about every next door neighbor quickly relocates to replacement the actual failed node, one at a time, then returns time for its authentic location. …”
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  4. 4
    Sensor Node for Medical Application

    Sensor Node for Medical Application by Ahmad, Mohd Asri

    Published 2008
    “…The sensor node system will connect patients to the PC through wireless connection mode. …”
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    Final Year Project
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  5. 5
    Lifetime and coverage maximization technique for mobile sensor networks

    Lifetime and coverage maximization technique for mobile sensor networks by Khan, M.A., Hasbullah, H., Nazir, B., Khan, M.A.

    Published 2014
    “…Just about every next door neighbor quickly relocates to replacement the actual failed node, one at a time, then returns time for its authentic location. …”
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    Conference or Workshop Item
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  6. 6
    A study of CGA- (cryptographically generated address) signature based authentication of binding update messages in low-end MIPv6 node

    A study of CGA- (cryptographically generated address) signature based authentication of binding update messages in low-end MIPv6 node by Qadir , Sana, Siddiqi, Mohammad Umar, Anwar, Farhat

    Published 2012
    “…It is also known that public-key cryptographic operations (like digital signatures) are computationally expensive for low-end nodes. This study presents the initial effort in investigating the feasibility of using CGA signature based authentication on low-end nodes. …”
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    Proceeding Paper
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  7. 7
    A Survey Of Supervised Machine Learning In Wireless Sensor Network: A Power Management Perspective

    A Survey Of Supervised Machine Learning In Wireless Sensor Network: A Power Management Perspective by Ul haq, Riaz, Norrozila, Sulaiman, Muhammad, Alam

    Published 2013
    “…After the installation of wireless sensor nodes it is almost impossible to replace the power source in a device. …”
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  8. 8
    Enhancing the stability of the improved-LEACH routing protocol for WSNs

    Enhancing the stability of the improved-LEACH routing protocol for WSNs by Al-Zubaidi, Ammar S., Ariffin, Ahmad Alauddin, Al-Qadhi, Abdulrahman K.

    Published 2018
    “…SILEACH balances the load between the nodes by utilizing an optimized method that considers the nodes’ distance to the base station and their residual energy to select the cluster-head nodes and considers the nodes’ distance to the cluster head and the base station to form clusters. …”
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  9. 9
    Performance evaluation of an energy-efficient medium access control protocol for wireless sensor network / Farah Diyana Zolkafli

    Performance evaluation of an energy-efficient medium access control protocol for wireless sensor network / Farah Diyana Zolkafli by Zolkafli, Farah Diyana

    Published 2007
    “…WSN use battery-operated computing and sensing device. Usually these sensor nodes are deployed in environments where it is hard and impractical to charge or replace exhausted batteries of the nodes. …”
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    Student Project
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  10. 10
    LOCALIZED MOVEMENT CONTROL CONNECTIVITY RESTORATION ALGORITHMS FOR WIRELESS SENSOR AND ACTOR NETWORKS

    LOCALIZED MOVEMENT CONTROL CONNECTIVITY RESTORATION ALGORITHMS FOR WIRELESS SENSOR AND ACTOR NETWORKS by MUHAMMAD IMRAN, MUHAMMAD IMRAN

    Published 2011
    “…The second approach identifies critical actors in advance, designates them preferably as noncritical backup nodes that replace the failed primary if such contingency arises in the future. …”
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    Thesis
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  11. 11
    RWP-NSGA II: reinforcement weighted probabilistic NSGA II for workload allocation in fog and internet of things environment

    RWP-NSGA II: reinforcement weighted probabilistic NSGA II for workload allocation in fog and internet of things environment by Ariffin, Ahmad Alauddin, Belhaouari, Samir Brahim, Raissouli, Hafsa

    Published 2024
    “…This study investigates workload allocation in the IoT node and the fog nodes by optimizing delay and energy consumption. …”
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  12. 12
    An Integrated RRT*SMART-A* Algorithm for solving the Global Path Planning Problem in a Static Environment

    An Integrated RRT*SMART-A* Algorithm for solving the Global Path Planning Problem in a Static Environment by Suwoyo, Heru, Adriansyah, Andi, Andika, Julpri, Ubaidillah, Abu

    Published 2023
    “…This combination is intended to switch method-by-method for the exploration process when the new node reaches the region around the goal node. However, before RRT*-Smart is combined with A*, it is improved by replacing the random sampling method with Fast Sampling. …”
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  13. 13
    AN INTEGRATED RRT*SMART-A* ALGORITHM FOR SOLVING THE GLOBAL PATH PLANNING PROBLEM IN A STATIC ENVIRONMENT

    AN INTEGRATED RRT*SMART-A* ALGORITHM FOR SOLVING THE GLOBAL PATH PLANNING PROBLEM IN A STATIC ENVIRONMENT by SUWOYO, HERU, ADRIANSYAH, ANDI, ANDIKA, JULFRI, SHAMSUDIN, ABU UBAIDAH, ZAKARIA, MOHAMAD FAUZI

    Published 2023
    “…This combination is intended to s v1/4 itch method-by -method for the exploration process vyhen the new node reaches the region around the goal node. However, before RRT*-Srnart is combined •...ith A*, it is improved by replacing the random sampling method with Fast Sampling. …”
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  14. 14
    AN INTEGRATED RRT*SMART-A* ALGORITHM FOR SOLVING THE GLOBAL PATH PLANNING PROBLEM IN A STATIC ENVIRONMENT

    AN INTEGRATED RRT*SMART-A* ALGORITHM FOR SOLVING THE GLOBAL PATH PLANNING PROBLEM IN A STATIC ENVIRONMENT by Suwayo, Heri, Adrishah, Andi, Andika, Juleri, Shamdudin, Abu Ubaidah, Zakaria, Mohamad Fauzi

    Published 2023
    “…This combination is intended to s v1/4 itch method-by -method for the exploration process vyhen the new node reaches the region around the goal node. However, before RRT*-Srnart is combined •...ith A*, it is improved by replacing the random sampling method with Fast Sampling. …”
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  15. 15
    AN INTEGRATED RRT*SMART-A* ALGORITHM FOR SOLVING THE GLOBAL PATH PLANNING PROBLEM IN A STATIC ENVIRONMENT

    AN INTEGRATED RRT*SMART-A* ALGORITHM FOR SOLVING THE GLOBAL PATH PLANNING PROBLEM IN A STATIC ENVIRONMENT by SUWOYO, HERU, ADRIANSHAH, ANDI, ANDIKA, JULPRI, SHAMSUDIN, ABU UBAIDAH, ZAKARIA, MOHAMAD FAUZI

    Published 2023
    “…This combination is intended to s v1/4 itch method-by -method for the exploration process vyhen the new node reaches the region around the goal node. However, before RRT*-Srnart is combined •...ith A*, it is improved by replacing the random sampling method with Fast Sampling. …”
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  16. 16
    Feasibility analysis of standalone PV powered battery using SEN for Smart Grid

    Feasibility analysis of standalone PV powered battery using SEN for Smart Grid by Islam, Syed Zahurul, Othman, Mohammad Lutfi, Mariun, Norman, Hizam, Hashim, Jalaluddin, Nur Ayuni

    Published 2020
    “…Therefore, to provide seamless power to the nodes is a challenge when the nodes are meant for integrating distributed renewable generations for years. …”
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  17. 17
    Towards efficient wireless body area network using two-way relay cooperation

    Towards efficient wireless body area network using two-way relay cooperation by Waheed, M., Ahmad, R., Ahmed, W., Drieberg, M., Alam, M.M.

    Published 2018
    “…Furthermore, link length extension and diversity is achieved by joint network-channel (JNC) coding the cooperative link. © 2018 by the authors. …”
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  18. 18
    AN INTEGRATED RRT*SMART-A* ALGORITHM FOR SOLVING THE GLOBAL PATH PLANNING PROBLEM IN A STATIC ENVIRONMENT

    AN INTEGRATED RRT*SMART-A* ALGORITHM FOR SOLVING THE GLOBAL PATH PLANNING PROBLEM IN A STATIC ENVIRONMENT by HERU SUWOYO, HERU SUWOYO, ANDI ADRIANSYAH, ANDI ADRIANSYAH, JULPRI ANDIKA, JULPRI ANDIKA, SHAMSUDIN, A LT UBAIDAH, ZAKARIA, MOHAMAD FAUZI

    Published 2023
    “…This combination is intended to s v1/4 itch method-by -method for the exploration process vyhen the new node reaches the region around the goal node. However, before RRT*-Srnart is combined •...ith A*, it is improved by replacing the random sampling method with Fast Sampling. …”
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  19. 19
    AN INTEGRATED RRT*SMART-A* ALGORITHM FOR SOLVING THE GLOBAL PATH PLANNING PROBLEM IN A STATIC ENVIRONMENT

    AN INTEGRATED RRT*SMART-A* ALGORITHM FOR SOLVING THE GLOBAL PATH PLANNING PROBLEM IN A STATIC ENVIRONMENT by Heru Sowoyo, Heru Sowoyo, Andi Adrianshah, Andi Adrianshah, Julpri Andika, Julpri Andika, Shamsuddin, Abu Ubaidah, Zakaria, Mohamad Fauzi

    Published 2023
    “…This combination is intended to s v1/4 itch method-by -method for the exploration process vyhen the new node reaches the region around the goal node. However, before RRT*-Smart is combined •...ith A*, it is improved by replacing the random sampling method with Fast Sampling. …”
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  20. 20
    AN INTEGRATED RRT*SMART-A* ALGORITHM FOR SOLVING THE GLOBAL PATH PLANNING PROBLEM IN A STATIC ENVIRONMENT

    AN INTEGRATED RRT*SMART-A* ALGORITHM FOR SOLVING THE GLOBAL PATH PLANNING PROBLEM IN A STATIC ENVIRONMENT by SUWOYO, HERU, ADRIANSYAH, ANDI, JULI RI ANDIKA, JULI RI ANDIKA, SHAMSUDIN, ABU UBAIDAH, ZAKARIA, MOHAMAD FAUZI

    Published 2023
    “…This combination is intended to s v1/4 itch method-by -method for the exploration process vyhen the new node reaches the region around the goal node. However, before RRT*-Smart is combined •...ith A*, it is improved by replacing the random sampling method with Fast Sampling. …”
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