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OntoDSO: an ontological-based dolphin swarm optimization (DSO) approach to perform energy efficient routing in Wireless Sensor Networks (WSNs)

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Abstract

The aim of the paper is to perform an energy-efficient routing for moving nodes in Wireless Sensor Networks (WSNs) by using an ontological-based dolphin swarm optimization (DSO) approach. It makes use of echolocation and ontology to locate and represent cluster nodes close to the sink thereby maintaining optimal energy consumption during simulation. A comparative analysis for 20 samples (N = 10 each) is performed between OntoDSO, Ad-hoc On-demand Distance Vector (AODV) algorithm and existing literature review studies by taking several parameters namely mean delay, mean packet delivery ratio and mean energy consumption into consideration. The simulation of results is performed using MATLAB Simulink with implementation parameters such as number of nodes (n) and initial battery life. As a result, it is found that the OntoDSO approach identifies a set of optimized routes that can satisfy delay constraints and consume less energy, thereby achieving higher performance than AODV and existing studies in the context of WSNs.

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Funding

The authors have not received any financial support from the public, commercial, or not-for-profit sectors.

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Authors and Affiliations

  1. Department of Information Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, India

    Mythili Boopathi

  2. Department of Computer Science and Engineering, Faculty of Engineering and Technology, Parul University, Vadodara, Gujarat, India

    Swapnil Parikh

  3. Department of Mechanical Engineering, Sanskriti University, Mathura, UP, India

    Aishwary Awasthi

  4. Department of UGDX, ATLAS SkillTech University, Mumbai, India

    Ashwini Malviya

  5. Department of Computer Science and Information Technology, Jain (Deemed to be University), Bengaluru, India

    M. N. Nachappa

  6. Maharishi School of Engineering and Technology, Maharishi University of Information Technology, Noida, India

    Awakash Mishra

  7. Department of Computer Science Engineering, Presidency University, Bengaluru, India

    Gopal Krishna Shyam

  8. Guru Gobind Singh Indraprastha University, Dwarka, Delhi, India

    Gagandeep Singh Narula

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  1. Mythili Boopathi
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Correspondence to Gagandeep Singh Narula.

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Boopathi, M., Parikh, S., Awasthi, A. et al. OntoDSO: an ontological-based dolphin swarm optimization (DSO) approach to perform energy efficient routing in Wireless Sensor Networks (WSNs). Int. j. inf. tecnol. 16, 1551–1557 (2024). https://doi.org/10.1007/s41870-023-01698-6

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  • DOI: https://doi.org/10.1007/s41870-023-01698-6

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