Search Results - (( mobile relation between algorithm ) OR ( based notification swarm algorithm ))*

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  1. 1

    An Analysis of Node/Peer Discovery Approach and Routing Algorithms in Mobile & Traditional Peer-to-Peer Networks by Abdullahi, Mohamed Omar

    Published 2012
    “…Mobile devices are becoming an increasingly indispensable part of people’s everyday life, in the form of mobile phones, PDAs and laptop computers to communicate or share data between them. …”
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  2. 2

    Inter-system handoff management in mobile cellular networks / Syamil Khalid by Khalid, Syamil

    Published 2011
    “…A simulation model developed to study the performance of the relative signal strength with hysteresis and threshold (RSS-HT) algorithm between mobile and radio tower in cellular network. …”
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  3. 3

    Inter system handoff management in cellular mobile networks / Syamil Khalid by Khalid, Syamil

    “…A simulation model is developed to study the performance of the relative signal strength with hysteresis and threshold (RSS-HT) algorithm. …”
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  4. 4

    Context Aware Handover Algorithms For Mobile Positioning Systems by Zaman Khan, Sazid, Thilek, Silvadorai, Tan, Chen Wei, Ramadass, Sureswaran, Anwar, Toni

    Published 2014
    “…This work proposes context aware handover algorithms for mobile positioning systems. The algorithms perform handover among positioning systems based on important contextual factors related to position determination with efficient use of battery. …”
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  5. 5

    Design and development of the network interface, packets scheduling and interference mitigation schemes for LTE-based femtocell networks / Sinan Ghassan Abid Ali by Ali, Sinan Ghassan Abid

    Published 2016
    “…The proposed RBP scheduling algorithm outperforms the well-known scheduling algorithms in terms of a lower PLR among users in the LTE based femtocell network. …”
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  6. 6

    Neighbour-based on-demand routing algorithms for mobile ad hoc networks by Ejmaa, Ali Mohamed E.

    Published 2017
    “…The broadcasting in this algorithm is governed by the inverse relation between the number of neighbors and the probability of the rebroadcasted RREQ messages. …”
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  7. 7

    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
    “…In this paper, we propose a green clustering protocol for mobile sensor networks using particle swarm optimization (PSO) algorithm. …”
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  8. 8

    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
    “…In this paper, we propose a green clustering protocol for mobile sensor networks using particle swarm optimization (PSO) algorithm. …”
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  9. 9

    Analysis and simulation of handoff scenario for wireless communication network / Darul Ridzuan Muhamad Halib by Muhamad Halib, Darul Ridzuan

    Published 2006
    “…The analysis made also for a mobile moving between two base stations with fixed velocity.…”
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  10. 10

    Performance evaluation of mobile ad hoc network in wireless LAN / Norfadhilah Hasan by Hasan, Norfadhilah

    Published 2005
    “…However a comparison between them is lacking to help determine an optimal one. …”
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  11. 11

    Scale-invariant and adaptive-search template matching for monocular visual odometry in low-textured environment by Aqel, Mohammad O. A.

    Published 2016
    “…Hence, the developed techniques and algorithms have high potential to be implemented in various commercial mobile robotic applications, which utilize VO for improved accuracy, efficiency, and cost effectiveness.…”
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  12. 12

    Detection of black hole nodes in mobile ad hoc network using hybrid trustworthiness and energy consumption techniques by Mustafa, Ahmed Sudad

    Published 2017
    “…Therefore, detecting the black hole in the network is substantial since MANET depends on the cooperation between adjacent nodes. In this thesis, a hybrid detection algorithm mechanism has been proposed which combines two detection algorithms based on nodes’ trustworthiness and energy consumption in a parallel manner in order to detect the black hole nodes. …”
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    Q-learning based vertical handover decision algorithm in LTE-A two-tier macrocell-femtocell systems / Ammar Bathich by Bathich, Ammar

    Published 2019
    “…Next generation mobile systems require improved capacity and proper quality assurance for services. …”
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  17. 17

    A reliable unicast routing protocol for mobile ad hoc network by Sargolzaey, Hadi

    Published 2013
    “…It is an autonomous system that can dynamically be set up anywhere and anytime without using any pre-existing network infrastructure and its mobile hosts are free to move randomly. Host mobility in MANETs causes failure of wireless links between nodes and breaks all the routes that use these links. …”
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  18. 18

    How do mobile games connect us? a perspective on social media affordances by Zhao, Fan, Alsagoff, Syed Agil, Abdullah, Karmilah

    Published 2025
    “…The findings indicate that mobile games utilize interface interactions, platform algorithms, and voice media affordances to provide conditions for identity perception, relational connectivity, and contextual imagination, thereby facilitating social interactions. …”
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  19. 19

    Light weight deep learning algorithm for voice call quality of services (Qos) in cellular communication by Ramalingam, Mritha, Sultanuddin, S. J., Nithya, N., Raj, T. F. Michael, Kumar, T. Rajesh, Prasad, S. J. Suji, Al-Ammar, Essam A., Siddique, M. H., Udayakumar, Sridhar

    Published 2022
    “…Cellular networks are different operators connected to each other, as well as a fixed telephone network that allows subscribers of one operator to another to make calls from mobile phones to landlines and from landlines to mobiles. …”
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  20. 20

    Enhanced Q-Learning algorithm for potential actions selection in automated graphical user interface testing by Goh, Kwang Yi

    Published 2023
    “…Furthermore, the proposed techniques based on the QLearning algorithm do not consider context-based actions. Thus, these techniques are unable to detect failures that occur due to the improper use of context data, which is becoming an increasingly common issue in mobile applications nowadays. …”
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