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Nanorobots target search strategies using swarm intelligence

Author

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  • Rodney Mushininga

    (School of Information Technology, The Independent Institute of Education, IIEMSA, South Africa.)

  • Livashen Moodley

    (Independent Researcher, South Africa)

Abstract

Controlling a swarm of bee-like nanorobots in search of a target in a human body-like environment is a challenge. The challenge lies in the causal factors of emergence. This research focused on designing and developing a bee-inspired algorithm to provide instructions to coordinate simple and naïve nanorobots in search of a target. Experiments were conducted through simulations to determine the rate at which myriads of agents converge at a target. A maze environment depicting human blood vessels was used to deploy the nanorobots. Different sample population sizes were used, and the results indicate that the bigger the sample size, the higher the convergence speed. Compared with a single complicated robot, the swarm of intelligently controlled nanorobots proved efficient and effective in finding a target in a human-like environment. Key Words:Nanorobots, Swarm Intelligence, Emergent Behavior

Suggested Citation

  • Rodney Mushininga & Livashen Moodley, 2023. "Nanorobots target search strategies using swarm intelligence," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 12(2), pages 529-538, March.
    • Handle: RePEc:rbs:ijbrss:v:12:y:2023:i:2:p:529-538
    DOI: 10.20525/ijrbs.v12i2.2359
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