Analysis of Frequency and Voltage Stability with Grid-Forming Virtual Synchronous Generators

The principal energy source in the field of wireless sensor networks, or WSNs for short, is the rechargeable ability of sensor nodes. In wireless sensor networks (WSNs), clustering has become a key tactic to save energy and extend network lifetime. Clustering makes sense since the energy used for data transfer is inversely proportionate to the separation between the sending and receiving nodes. In this paper, we present a new fuzzy-logic model to select cluster leaders (CH) in wireless sensor networks (WSNs). It's an important step when grouping devices in these networks. The five things the suggested model uses to check if a node can be classified as an influential hub are size, map fit, remaining power and how near it is to the starting point. Also, we look into using the Gini index as another way to check how fairly energy is shared among sensors within a WSN. We compare our suggested FL-EEC/D method with many other methods that are already there. These include a fuzzy logic technique for clustering called LEACH and an approach named Low Energy Adaptation Clustered Architecture. The normal results show big improvements, especially when looking at first node loss and half of the nodes disappearing.