Blue Brain Based Clustering Protocol for Mobile Wireless Sensor Networks

Abstract

Abstract Blue Brain based clustering have emerged as one of the most popular methodologies in a variety of applications, like farming, smoke alarms, medical, and industrial surveillance e.t.c. Blue Brain based mobile wireless sensor networks offers a variety of advantages, like affordability, portability, versatility, self-organization, and the capacity to route traffic using Blue Brain algorithms. Increasingly practical applications than it's ever been utilize Blue Brain. However, among the most serious issues is the lack of energy. It prevents the full use of Blue Brain technology. Normally, battery packs have a limited life are used to power sensors. Wireless sensor networks always have opportunity for efficient energy usage even when renewable resources (like solar or electromechanical technologies) are being used as supplemental energy. In this research work point out the flaws in the existing approaches, offer a fresh technique that strengthens it, and contrast it with ICRA strategy. This investigation largely relies on the constraints of an ICRA as well as its associated algorithms in order to enhance network longevity by minimizing energy usage.