Meta-heuristic Black Widow Optimization Algorithm for Solving M Connected Coverage in Internet of Things

Authors

  • Sumit Kumar Associate Professor, Department of AI & ML, COER University, Roorkee
  • Sangeeta Ranjan Assistant Professor, Department of Computer Application Kanpur Institute of Technology, Kanpur A1, UPSIDC Industrial Area, Chakeri Ward, Rooma, Uttar Pradesh 208001
  • Jyoti Kanjalkar Assistant Professor, Vishwakarma Institute of Technology, Pune
  • Yogesh Misra Professor, Department of Electronics & Communication Engineering, GMR Institute of Technology, Rajam, Andhra Pradesh, India.
  • Bhupati Assistant Professor, Department of IoT, K L Deemed to be University, Vaddeswaram, Guntur-522302
  • Mani Dublish Assistant Professor, Department of Computer Applications ABES Engg College Ghaziabad Uttar Pradesh Pin Code: 201009

Keywords:

Internet of Things, black widow optimization algorithm, m connected target coverage, meta heuristic algorithm

Abstract

Merely addressing the coverage issue in isolation is insufficient within the context of IoT, since the transmission of data to the base station is also a critical factor to consider. This necessitates the search for an energy-efficient approach to address the issue of linked coverage. This research study focuses on the topic of m- connected target coverage in IoT. In this problem, each sensor node is needed to have at least m additional sensor nodes within its communication range. The amount of necessary connection and coverage might vary, ranging from high to low based on specific requirements. In this study, we provide a heuristic approach to address the issue of m- connected target coverage. The proposed method involves determining an initial cover and then verifying its m- connectivity. This work primarily focuses on the concept of m- connectivity in relation to simple coverage. In this study, we use a model influenced by the meta heuristic algorithm namely Black Widow Optimization algorithm. In this model, a cluster is defined as a group of sensor nodes that meet the criteria of m- connectivity and the desired amount of coverage. Sufficiency is achieved when at least one of these nodes communicates the monitored information to the base station. The simulation results demonstrate that the suggested strategy outperforms existing state-of-the-art algorithms.

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Published

12.01.2024

How to Cite

Kumar, S. ., Ranjan, S. ., Kanjalkar, J. ., Misra, Y. ., Bhupati, B., & Dublish, M. . (2024). Meta-heuristic Black Widow Optimization Algorithm for Solving M Connected Coverage in Internet of Things. International Journal of Intelligent Systems and Applications in Engineering, 12(12s), 248–254. Retrieved from https://www.ijisae.org/index.php/IJISAE/article/view/4510

Issue

Vol. 12 No. 12s (2024)

Section

Research Article

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Copyright (c) 2024 Sumit Kumar, Sangeeta Ranjan, Jyoti Kanjalkar, Yogesh Misra, Bhupati, Mani Dublish

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