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Nature Inspired Computing for Wireless Networks Applications: A Survey

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  • Daneshwari I. Hatti

    (BLDEA V.P. Dr. P.G. Halakatti College of Engineering and Technology, Vijayapur, India)

  • Ashok V. Sutagundar

    (Basveshwar Engineering College, Bagalkot, India)

Abstract

Nature inspired computing (NIC) is a computing paradigm inspired by the attractive behavior of nature. NIC has influenced the researchers to perform optimization in many approaches using physics/chemistry-based algorithms and biology-based algorithms. Physics/chemistry-based algorithms include the water cycle, a galaxy base, or gravitational-based algorithms. Biology-based algorithms, namely bio-inspired and swarm intelligence-related algorithms are discussed with their importance in the field of wireless networks. A wireless network such as MANET's, VANET, AdHoc, and IoT are playing a vital role in all sectors. Some of the issues such as finding the optimal path in routing, clustering, dynamic allocation of motes, energy and lifetime of the network pertaining to a wireless network can be solved using an NIC approach. Algorithms derived by the inspiration from nature are discussed briefly in this article.

Suggested Citation

  • Daneshwari I. Hatti & Ashok V. Sutagundar, 2019. "Nature Inspired Computing for Wireless Networks Applications: A Survey," International Journal of Applied Evolutionary Computation (IJAEC), IGI Global, vol. 10(1), pages 1-29, January.
    • Handle: RePEc:igg:jaec00:v:10:y:2019:i:1:p:1-29
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