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VOL. 9, ISSUE 2 (2024)
Design, model, and analyze traffic-aware clustering-based congestion control mechanism for WSNS
Authors
Tondare Santosh Manmath, Dr. Vijalaxmi Biradar, Dr. Mhalsakant M Sardeshmukh
Abstract
This study is to introduce the novel solutions
for traffic and energy aware congestion control in future WSNs. In this study,
we make an effort to present a congestion management method for wireless sensor
networks. The proposed algorithms should be applicable to a wide variety of
applications, including those dealing with agricultural, monitoring, and health
care systems. The NGBC is examined using the results acquired by earlier algorithms
like LEACH, HEED, and IDCA in order to provide justification of the efficacy of
the proposed mechanism. This analysis's goal is to provide justification of the
effectiveness of the suggested mechanism. The comparison was carried out with
the objective of determining measures like as throughput, packet loss, energy
usage, packet delivery ratio, and end-to-end latency. The
suggested approach makes use of optimization algorithms that are based on
artificial intelligence in order to discover more than one path for data
routing in networks that are clustered.
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Pages:54-57
How to cite this article:
Tondare Santosh Manmath, Dr. Vijalaxmi Biradar, Dr. Mhalsakant M Sardeshmukh "Design, model, and analyze traffic-aware clustering-based congestion control mechanism for WSNS". International Journal of Multidisciplinary Education and Research, Vol 9, Issue 2, 2024, Pages 54-57
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