Cite this DOI

Singh, V. P., & Mahreen, S. (2023). Proposing Decentralized Algorithm for Minimization of Transmission Power and Improving System Performance in Radio Network. *Journal of Science and Technology*, *08*(04), 01–17. https://doi.org/10.46243/jst.2023.v8.i04.pp1-17

@article{singh2023proposing,
  author    = {Singh, Vijay Prakash and Mahreen, Shanila},
  title     = {{Proposing Decentralized Algorithm for Minimization of Transmission Power and Improving System Performance in Radio Network}},
  journal   = {Journal of Science and Technology},
  year      = {2023},
  volume    = {08},
  number    = {04},
  pages     = {01--17},
  publisher = {Longman Publishers},
  issn      = {2456-5660},
  doi       = {10.46243/jst.2023.v8.i04.pp1-17},
  url       = {https://doi.org/10.46243/jst.2023.v8.i04.pp1-17},
  abstract  = {The minimization of transmission power is a critical issue in radio networks due to its impact on network coverage, energy efficiency, and signal quality. In this paper, we propose a decentralized algorithm for the minimization of transmission power in radio networks. The proposed algorithm allows each node in the network to independently adjust its transmission power based on its local information, without the need for centralized coordination. We evaluate the performance of the proposed algorithm through extensive simulations, comparing it to other centralized and decentralized algorithms in terms of transmission power, network coverage, and signal quality. Our results show that the proposed algorithm outperforms existing decentralized algorithms and can approach the performance of centralized algorithms. Furthermore, the proposed algorithm offers improved scalability and robustness to node failures, making it an attractive solution for large-scale wireless networks. Overall, our study demonstrates the potential of decentralized algorithms for power optimization in radio networks and provides insights into the design and implementation of such algorithms.}
}

TY  - JOUR
TI  - Proposing Decentralized Algorithm for Minimization of Transmission Power and Improving System Performance in Radio Network
AU  - Singh, Vijay Prakash
AU  - Mahreen, Shanila
JO  - Journal of Science and Technology
PY  - 2023
DA  - 2023///
VL  - 08
IS  - 04
SP  - 01
EP  - 17
PB  - Longman Publishers
SN  - 2456-5660
AB  - The minimization of transmission power is a critical issue in radio networks due to its impact on network coverage, energy efficiency, and signal quality. In this paper, we propose a decentralized algorithm for the minimization of transmission power in radio networks. The proposed algorithm allows each node in the network to independently adjust its transmission power based on its local information, without the need for centralized coordination. We evaluate the performance of the proposed algorithm through extensive simulations, comparing it to other centralized and decentralized algorithms in terms of transmission power, network coverage, and signal quality. Our results show that the proposed algorithm outperforms existing decentralized algorithms and can approach the performance of centralized algorithms. Furthermore, the proposed algorithm offers improved scalability and robustness to node failures, making it an attractive solution for large-scale wireless networks. Overall, our study demonstrates the potential of decentralized algorithms for power optimization in radio networks and provides insights into the design and implementation of such algorithms.
DO  - 10.46243/jst.2023.v8.i04.pp1-17
UR  - https://doi.org/10.46243/jst.2023.v8.i04.pp1-17
ER  -

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    "type": "article-journal",
    "id": "10.46243/jst.2023.v8.i04.pp1-17",
    "DOI": "10.46243/jst.2023.v8.i04.pp1-17",
    "URL": "https://doi.org/10.46243/jst.2023.v8.i04.pp1-17",
    "title": "Proposing Decentralized Algorithm for Minimization of Transmission Power and Improving System Performance in Radio Network",
    "source": "Smart Scholars DOI Registry",
    "container-title": "Journal of Science and Technology",
    "author": [
        {
            "family": "Singh",
            "given": "Vijay Prakash"
        },
        {
            "family": "Mahreen",
            "given": "Shanila"
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    "issued": {
        "date-parts": [
            [
                2023
            ]
        ]
    },
    "volume": "08",
    "issue": "04",
    "page": "01-17",
    "publisher": "Longman Publishers",
    "abstract": "The minimization of transmission power is a critical issue in radio networks due to its impact on network coverage, energy efficiency, and signal quality. In this paper, we propose a decentralized algorithm for the minimization of transmission power in radio networks. The proposed algorithm allows each node in the network to independently adjust its transmission power based on its local information, without the need for centralized coordination. We evaluate the performance of the proposed algorithm through extensive simulations, comparing it to other centralized and decentralized algorithms in terms of transmission power, network coverage, and signal quality. Our results show that the proposed algorithm outperforms existing decentralized algorithms and can approach the performance of centralized algorithms. Furthermore, the proposed algorithm offers improved scalability and robustness to node failures, making it an attractive solution for large-scale wireless networks. Overall, our study demonstrates the potential of decentralized algorithms for power optimization in radio networks and provides insights into the design and implementation of such algorithms.",
    "ISSN": "2456-5660"
}

From the record as registered (version 1) — the record and its history. Programs: https://registry.smartscholars.in/api.php?action=cite&doi=10.46243%2Fjst.2023.v8.i04.pp1-17 gives all four in one JSON answer.