Search Results - (( _ applications among algorithm ) OR ( based application sensor algorithm ))*

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  1. 1
    Efficient k-coverage scheduling algorithms for wireless sensor networks / Ahmed Abdullah Saleh Al-Shalabi

    Efficient k-coverage scheduling algorithms for wireless sensor networks / Ahmed Abdullah Saleh Al-Shalabi by Saleh Al-Shalabi, Abdullah

    Published 2014
    “…An efficient k-coverage algorithm for sensors with fixed sensing range (Maximum Layers Scheduling algorithm - MLS) is demonstrated. …”
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  2. 2
    A novel scheduling algorithm based on game theory and multicriteria decision making in LTE network

    A novel scheduling algorithm based on game theory and multicriteria decision making in LTE network by Hindia, M.N., Reza, A.W., Noordin, K.A.

    Published 2015
    “…On the second level, TOPSIS algorithm allocates the resources among application's users based on their criteria and the application's preferences. …”
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  3. 3
    A Novel Polytope Algorithm based on Nelder-mead method for localization in wireless sensor network

    A Novel Polytope Algorithm based on Nelder-mead method for localization in wireless sensor network by Gumaida, Bassam, Abubakar, Adamu

    Published 2024
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  4. 4
    Development of an algorithm for correlation of aircraft positioning data from radar and ADS-B sensors / Koh Che Hun

    Development of an algorithm for correlation of aircraft positioning data from radar and ADS-B sensors / Koh Che Hun by Koh , Che Hun

    Published 2019
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  5. 5
    Mobile data gathering algorithms for wireless sensor networks

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

    Published 2014
    “…The selection of this parameter is based on the application requirements. Minimal Constrained Rendezvous Node (MCRN) algorithm is designed to ensure that the number of pause locations for the mobile element is minimized. …”
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  6. 6
    Energy efficient geographical and power based clustering algorithm for heterogeneous wireless sensor networks

    Energy efficient geographical and power based clustering algorithm for heterogeneous wireless sensor networks by Jahan, Mohammad Saukat, Sali, Aduwati, Azarbad, Bahman, Usaha, Wipawee, A. Rasid, Mohd Fadlee, Mohd Ali, Borhanuddin

    Published 2011
    “…Wireless Sensor Network (WSN) has gained tremendous research attention recently due to their extensive applications. …”
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  7. 7
    A scheduled activity energy aware distributed clustering algorithm for wireless sensor networks with nonuniform node distribution

    A scheduled activity energy aware distributed clustering algorithm for wireless sensor networks with nonuniform node distribution by Nokhanji, Nooshin, Mohd Hanapi, Zurina, Subramaniam, Shamala, Mohamed, Mohamad Afendee

    Published 2014
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  8. 8
    Energy Balancing Through Cluster Head Selection Using K-Theorem in Homogeneous Wireless Sensor Networks

    Energy Balancing Through Cluster Head Selection Using K-Theorem in Homogeneous Wireless Sensor Networks by Muhammad , Imran, Asfandyar, khan, Azween, Abdullah

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  9. 9
    Energy Balancing Through Cluster Head Selection Using K-Theorem in Homogeneous Wireless Sensor Networks

    Energy Balancing Through Cluster Head Selection Using K-Theorem in Homogeneous Wireless Sensor Networks by Muhammad , Imran, Asfandyar, khan, Azween, Abdullah

    Published 2008
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  10. 10
    Vision Based Calibration and Localization Technique for Video Sensor Networks

    Vision Based Calibration and Localization Technique for Video Sensor Networks by Mohamed Sharif, Sharif Amar Mohamed Sharif

    Published 2009
    “…Very few of these localization algorithms use vision based technique. In this work, a vision based technique is proposed for localizing and configuring the camera nodes in video wireless sensor networks. …”
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  11. 11
    HDRA: A Haybird Data Reduction and Routing Algorithm

    HDRA: A Haybird Data Reduction and Routing Algorithm by Hussein, M. K., Marghescu, Ion, A. M. Alduais, Nayef

    Published 2024
    “…Recent studies on data reduction methods have shown that sensor nodes often transmit data directly (single hop) to the base station (BS). …”
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  12. 12
    Effective routing protocol for wireless sensor networks using CRT-leach algorithm / Kamaldeen Ayodele Raji, Ayisat Wuraola Asaju-Gbolagade and Kazeem Alagbe Gbolagade

    Effective routing protocol for wireless sensor networks using CRT-leach algorithm / Kamaldeen Ayodele Raji, Ayisat Wuraola Asaju-Gbolagade and Kazeem Alagbe Gbolagade by Ayodele Raji, Kamaldeen, Asaju-Gbolagade, Ayisat Wuraola, Gbolagade, Kazeem Alagbe

    Published 2021
    “…Accordingly, it is necessary to structure vitality proficient steering conventions for WSNs applications. Chinese Remainder Theorem (CRT)- based packet splitting integrated with Low-Energy Adaptive Clustering Hierarchy (LEACH) algorithm routing protocol was proposed so as to decrease vitality utilization during correspondence and improve message dependability in WSNs. …”
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  13. 13
    Dynamic area coverage algorithms for static and mobile wireless sensor network environments using voronoi techniques

    Dynamic area coverage algorithms for static and mobile wireless sensor network environments using voronoi techniques by Ceesay, Omar M.

    Published 2011
    “…The proposed Voronoi Tessellation-based Coverage Optimization Algorithms for Static and Mobile Wireless Sensor Networks provides up to 99% coverage at various number of mobile-static sensor node combination and up to 12% reduction in average moving distance. …”
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  14. 14
    MCRP: multiple chain routing protocol for energy efficiency in homogeneous wireless sensor networks

    MCRP: multiple chain routing protocol for energy efficiency in homogeneous wireless sensor networks by Kareem, Husam, Hashim, Shaiful Jahari, Sali, Aduwati, Taha, Omer W., Kazim, Issraa J., Shukri, Shaimaa

    Published 2019
    “…Wireless sensor networks (WSNs) comprise a wide variety of applications. …”
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  15. 15
    Energy efficiency mechanism using mobile-based fermat's spiral in wireless sensor networks

    Energy efficiency mechanism using mobile-based fermat's spiral in wireless sensor networks by Mantoro, Teddy, Shaukat Ali, Haroon, Ayu, Media Anugerah, Usino, Wendi

    Published 2011
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  16. 16
    Analysis of LMS and NLMS noise cancellations of speech signal using Matlab Simulink / Roziahtushahila Hashim

    Analysis of LMS and NLMS noise cancellations of speech signal using Matlab Simulink / Roziahtushahila Hashim by Hashim, Roziahtushahila

    Published 2014
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  17. 17
    HDRA: A Haybird Data Reduction and Routing Algorithm

    HDRA: A Haybird Data Reduction and Routing Algorithm by M. K. Hussein, M. K. Hussein, Ion Marghescu, Ion Marghescu, Nayef A. M. Alduais, Nayef A. M. Alduais

    Published 2024
    “…Recent studies on data reduction methods have shown that sensor nodes often transmit data directly (single hop) to the base station (BS). …”
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  18. 18
    Computational model for energy aware TDMA-based MAC protocol for wireless sensor network system

    Computational model for energy aware TDMA-based MAC protocol for wireless sensor network system by A. Rashid, Rozeha, Ehsan, Wan Mohd. Arif, Zaharim, Azami, Fisal, Norsheila

    Published 2007
    “…This paper proposes a novel approach that tries to reduce idle energy consumption by implementing active-sleep algorithm named energy aware A-MAC protocol. The result from the computational model shows that the algorithm can prolong the network lifetime due to efficiency in energy consumption from time slot management.…”
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  19. 19
    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
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  20. 20
    A distributed particle filtering approach for multiple acoustic source tracking using an acoustic vector sensor network

    A distributed particle filtering approach for multiple acoustic source tracking using an acoustic vector sensor network by Zhong, X., Mohammadi, A., Premkumar, A.B., Asif, A.

    Published 2015
    “…However, such algorithms are either not applicable for multiple sources or rely heavily on sensor-processor communication. …”
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