Abstract
This survey article is a comprehensive discussion on Intelligent Optimization of Wireless Sensor Networks through Bio-Inspired Computing. The marvelous perfection of biological systems and its different aspects for optimized solutions for non-biological problems is presented here in detail. In the current research inclination, hiring of biological solutions to solve and optimize different aspects of artificial systems' problems has been shaped into an important field with the name of bio-inspired computing. We have tabulated the exploitation of key constituents of biological system for developing bio-inspired systems to represent its importance and emergence in problem solving trends. We have presented how the metaphoric relationship is developed between the two biological and non-biological systems by quoting an example of relationship between prevailing wireless system and the natural system. Interdisciplinary research is playing a splendid contribution for various problems' solving. The process of combining the individuals' output to form a single problem solving solution is depicted in three-stage ensemble design. Also the hybrid solutions from computational intelligence-based optimization are elongated to demonstrate the emergent involvement of these inspired systems with rich references for the interested readers. It is concluded that these perfect creations have remedies for most of the problems in non-biological system.
Highlights
Aer exhaustive effort in gaining maximum productivity from brainstorming solutions, researchers are inclining towards biologically inspired solutions
Newton’s theory of gravity, Wright brothers’ in uenced work of ying, Einstein’s theory of relativity, and John von Neumann’s abstract model of self-reproduction are just the names of few. e intense exploitation of these miraculous creations of the One in Human’s problems solving has organized as a complete eld naming biological-inspired computing. e word computing encompasses the activities of using and improving the computer technology, computer hardware, and computer so ware. e technique of formulating the views, ideas, technologies, and algorithms for unknotting the issues as well as introducing the innovation in computer technology, hardware, and so ware that are motivated by the biological systems is called biologically inspired computing or bioinspired computing
We have taken Ant Colony Optimization inspired by Ant System (AS) from the biological eld and Wireless Sensor Network (WSN) from the arti cial systems to understand the metaphoric relationship between the natural and arti cial systems
Summary
Aer exhaustive effort in gaining maximum productivity from brainstorming solutions, researchers are inclining towards biologically inspired solutions. E intense exploitation of these miraculous creations of the One in Human’s problems solving has organized as a complete eld naming biological-inspired computing. 2. Intelligent Optimization in Biological Systems e real creation of any natural system has marvelous traits in it. Foraging behavior in ants and bees systems, ocking, herding, and schooling process in birds, animals, and sh, respectively, are some of the typical examples of iteration of working sessions for the optimal respective solutions. Swarm intelligence (SI) is one of the aspiring solutions from bio-inspired computing for such heuristic optimization problems, for example, routing. Global intelligent behavior to which the individuals are entirely unknown is emerged due to the local, selforganized, and decentralized interaction of swarm’s agents
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