Nature Inspired Computing for Wireless Networks Applications: A Survey

Daneshwari I. Hatti and Ashok V. Sutagundar
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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

International Journal of Applied Evolutionary Computation (IJAEC), 2019, vol. 10, issue 1, 1-29

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.

Date: 2019
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