Energy Optimization in Wireless Sensor Network through Natural Science Computing: A Survey

Nature-inspired computational algorithms are attracting engineering research for artificial intelligence solutions. The Natural science modelling for designing intelligent artefacts gives good results which reliably execute in the system. Some time it is expensive in terms of space and time to create reliable artefacts with conventional process that design the elements like intelligence, controlling operations, process optimization, threat and security, design of the future ideas, and so on. The paper addresses the natural science processes and solution directions. It integrates contrasting techniques of Genetic systems, Neural System, Immune systems and Cellular automata inspired from human organs to give solutions for energy conservation problems in Wireless sensor network domain. The non-human aspects of natural science like, swarm optimization, social insects like ant honey bees, wasps, termites and many more are also discussed to solve many real-world problems. The paper gives insights into the creation of innovative improvements over algorithm performance, potential applications on various practical tasks, and combination of different techniques for energy optimization in wireless sensor networks.