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    A memory-oriented MAC-layer design for future IoT systems

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    A memory.pdf
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    1.378Mb
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    Description:
    Accepted manuscript
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    Type
    Article
    Authors
    Odat, Enas M. cc
    Hamza, Doha R.
    Shihada, Basem cc
    Shamma, Jeff S. cc
    KAUST Department
    Computer Science Program
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Networks Laboratory (NetLab)
    RISC Laboratory
    Date
    2020-08-05
    Online Publication Date
    2020-08-05
    Print Publication Date
    2020-11
    Embargo End Date
    2022-08-19
    Submitted Date
    2019-05-28
    Permanent link to this record
    http://hdl.handle.net/10754/664944
    
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    Abstract
    The Internet of Things (IoT) paradigm envisions billions of interconnected things. This high density of things generates a huge amount of data, which results in communication delays and increases the amount of contention. Thus, it is necessary to have efficient Medium Access Control (MAC) protocols to coordinate channel access. In this paper, we consider a network throughput maximization problem in which a set of selfish nodes compete for transmission opportunities in the IoT scenario. To enhance cooperation among the nodes and to reduce the collision rate, we formulate a memory-one channel access game in which the nodes maximize their payoffs by optimizing their channel access probabilities, conditioned on their previous transmission state. A distributed learning algorithm is used by the nodes to solve the problem efficiently in order to overcome any coordination overhead. We investigate the impact of the network topology on the solution to the problem. Our simulation results show that the throughput achieved by the memory-one game outperforms the throughput achieved by other methods including IEEE 802.11 DCF protocol.
    Citation
    Odat, E., Hamza, D., Shihada, B., & Shamma, J. S. (2020). A memory-oriented MAC-layer design for future IoT systems. Ad Hoc Networks, 108, 102276. doi:10.1016/j.adhoc.2020.102276
    Sponsors
    The research reported in this publication was supported by funding from King Abdullah University of Science and Technology (KAUST).
    Publisher
    Elsevier BV
    Journal
    Ad Hoc Networks
    DOI
    10.1016/j.adhoc.2020.102276
    Additional Links
    https://linkinghub.elsevier.com/retrieve/pii/S1570870520306375
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.adhoc.2020.102276
    Scopus Count
    Collections
    Articles; Computer Science Program; Electrical and Computer Engineering Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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