Battery Lifetime Enhancement in Wireless Sensor Networks using Artificial Intelligence Techniques

A Wireless Sensor Network (WSN) is a state of art technology for improving the lifetime of battery in conjunction with artificial intelligence techniques. A WSN is an intensive group of different miniature devices called sensor nodes, which help to monitor external or internal environmental conditions like luminosity and weather parameters such as pressure, sound, temperature, and humidity. These nodes are embedded with various devices like sensing components, computer-based input and output devices, radio transceivers and other power related components. These are inherently interconnected resource based constraints like limited storage capacity, communication bandwidth and limited processing speed. There is a need to adapt self-organizing nodes mechanism to match the application in order to minimize the intermediate nodes power consuming and longevity of the battery used in sensor network. These monitor dynamic paths change more often in over times, so sensor networks often adopt artificial intelligence techniques like neural networks to solve the need, such as to reduce the intermediate nodes power consuming and maximization of resource utilization sources and enhance the life period of the sensor network. This manuscript presents an absence of middle nodes inactive time, power consumption is minimized, therefore, the life time of battery to be maximized and better utilization of resources are possible.