A Comparative Analysis of GWO and ABC Algorithm for Energy Consumption Minimization in Wireless Sensor Network

The fame of Wireless Sensor Networks (WSN) has expanded quickly and colossally because of the huge capability of the sensor systems to associate the physical world with the virtual world. Since sensor gadgets depend on battery force and hub vitality and might be set in antagonistic situations, supplanting them turns into a troublesome undertaking. In this way, improving the vitality of these systems, for example, becomes significant. The proposition gives techniques to bunching and group head determination to WSN to improve vitality effectiveness utilizing a fluffy rationale controller. It presents a correlation between the various techniques based on the system lifetime. It contrasts existing ABC streamlining technique and the Gray Wolf Optimizer (GWO) enhancement calculation for various sizes of systems and diverse situations. It furnishes bunch head determination technique with great execution and diminished computational multifaceted nature. The paper proposes GWO as a calculation for grouping of WSN which would bring about improved execution with quicker combination.