Extending the Lifespan of Internet of Things (IoT) Networks: An Adaptive Routing Selection Algorithm by Incorporating Data Attributes

Wireless sensor networks (WSNET) have emerged as a result of the growing popularity of small and inexpensive computers. These networks have great potential for a variety of simultaneous tasks. These networks can carry out multiple tasks at once or work together with other networks to address large-scale applications by employing a fraction of their total resources. To optimize network performance and minimize energy usage, a cutting-edge routing system must be put into place. We introduce a versatile routing framework that can seamlessly transition between many routing methods based on the unique needs of an application, network conditions, and geographical data. This research introduces an innovative method for selecting an adaptive routing system by superimposing a digital attribute-based clustering hierarchy on top of sensor networks. In this paper, we present new analytical viewpoints on our approach and demonstrate its ability to enhance network performance.