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Modified Genetic Algorithm Approach for Enhancement of WSN Services

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Abstract

To improve the Quality of Services (QoS) which further increases customer usage in WSN-based applications, it is obligatory to use suitable algorithms at the network layer to ensure optimized performance concerning network lifetime, energy consumed, and throughput of a WSN. One such algorithm can be the evolutionary algorithm i.e., genetic algorithm, in this work it is proposed that for the optimization of QoS Cluster-Tree based Genetic Algorithm (CT-GA) is used. Applications such as IoT-based smart environments can be created using such algorithms. This proposed algorithm offers services which are enhanced, the results obtained for services here are energy consumed (.004–009 J), network lifetime (100 iterations) and throughput (1700kbs).

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  1. Dept of Telecommunication Engineering, Dr. Ambedkar Institute Of Technology, BDA, Outer Ring Rd, Near Gnana Bharathi, Bengaluru, Karnataka, 560056, India

    Lakshmi Bhaskar & C. R. Yamuna Devi

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  1. Lakshmi Bhaskar
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  2. C. R. Yamuna Devi
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The first draft of the manuscript was written by Lakshmi Bhaskar (author 1) and other author (author 2) commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Lakshmi Bhaskar.

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Bhaskar, L., Devi, C.R.Y. Modified Genetic Algorithm Approach for Enhancement of WSN Services. J. Inst. Eng. India Ser. B (2024). https://doi.org/10.1007/s40031-024-01100-4

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