ABSTRACT
In this new age of the Internet of Things, maintaining a link between sensor nodes that is both reliable and efficient in its use of energy is of the utmost significance. Engineers working in wireless technology frequently face a trade-off between the energy requirements of sensors and the reliability of their complete connectivity. As a result of this necessity, a large number of researchers are focusing their attention on finding the best possible solution. This study proposes, implements, and applies the Smell Agent Optimization and Butterfly Optimizer algorithms with the goal of reducing the amount of energy required by a sensor node while simultaneously ensuring that all nodes are fully connected to one another. The results that were obtained indicate that the proposed approach produces superior results to those that were discovered in the literature utilizing the Smell Agent Optimization and Butterfly Optimizer algorithms in terms of the amount of energy saved and the reliability of the connectivity.
