The spontaneous emergence of natural phenomena such as flies flashing, the cardiac pacemaker cells, cooperative searching for food by bees, the behavior of flocking birds, schooling of fish, ants, and termites, and frogs' calling behavior shows various synchronization. Some synchronization principals have been investigated and analyzed from this natural phenomena in order to be applied to the various wireless communication system. In this study, we herein propose the resource allocation scheme based on the frogs' calling behavior algorithm, which enable to achieve strict desynchronization among nodes in a fully connected network in a distributed manner. By mapping the phase difference of two consecutive nodes to the amount of resource allocated to a node, we can obtain distributed and fair resource allocation among nodes in a network. Simulation results show that the proposed algorithm achieves strict desynchronization (thus fair resource allocation) over all nodes in a network in a distributed manner.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Fair Resource Allocation in Wireless Networks


    Beteiligte:
    Ron, Dara (Autor:in) / Bang, Jung-Hyun (Autor:in) / Lee, Jung-Ryun (Autor:in)


    Erscheinungsdatum :

    01.08.2018


    Format / Umfang :

    270291 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Fair Resource Allocation Algorithm for Chunk Based OFDMA Multi-User Networks

    Shen, Yanyan / Huang, Xiaoxia / Yang, Bo et al. | IEEE | 2017


    Fair Bandwidth Allocation in Optical Burst Switching Networks

    Orawiwattanakul, T. / Ji, Y. / Zhang, Y. et al. | British Library Online Contents | 2009


    Dynamic Resource Allocation for Full-Duplex OFDMA Wireless Cellular Networks

    Tran, Tam Thanh / Ha, Vu Nguyen / Le, Long Bao et al. | IEEE | 2016



    Resource Allocation in UAV-Assisted Wireless Networks Using Reinforcement Learning

    Luong, Phuong / Gagnon, Francois / Labeau, Fabrice | IEEE | 2020