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A novel data aggregation using multi objective based male lion optimization algorithm (DA-MOMLOA) in wireless sensor network

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Abstract

Wireless sensor network efficiently aggregates and transmits data in an internet of things (IoT) environment. Machine Learning algorithms can minimize data transmission rates by utilizing the distributive features of the network. This study proposes a novel cluster-based data aggregation method using multi-objective based male lion optimization algorithm (DA-MOMLOA) for evaluating the network based on energy, delay, density and distance. The data aggregation method is employed with the help of cluster head wherein data aggregated from similar clusters are forwarded to the sink node following by application of machine learning algorithms. Hence, the proposed method shows promising results as it significantly increases the network efficiency and reduces the packet drop owing to a smaller number of aggregation processes.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Dhanalakshmi Srinivasan College of Engineering, Coimbatore, India

    G. Saranraj

  2. Department of Computer Science and Engineering, College of Engineering, Anna University, Chennai, India

    K. Selvamani

  3. Department of Electronics and Communication Engineering, Dhanalakshmi Srinivasan College of Engineering, Coimbatore, India

    P. Malathi

Authors
  1. G. Saranraj
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  2. K. Selvamani
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  3. P. Malathi
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Correspondence to G. Saranraj.

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Saranraj, G., Selvamani, K. & Malathi, P. A novel data aggregation using multi objective based male lion optimization algorithm (DA-MOMLOA) in wireless sensor network. J Ambient Intell Human Comput 13, 5645–5653 (2022). https://doi.org/10.1007/s12652-021-03230-9

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  • DOI: https://doi.org/10.1007/s12652-021-03230-9

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