Adaptive Intelligent Routing Algorithm for Integrating MANETs with IoT Networks
摘要
The changes that have been made to the system are well demonstrated in the graphical and tabular analyses. The first parameter in the graphical analysis shows the values varying from 42 to 91 units, and the system is seen to be performing well up to the point where it goes beyond the threshold of 75, and after that, there is a considerable increase in the variability of the response. The second parameter values vary from 35 to 89 units, and the going beyond the limit that results in performance reduction, especially after the level of 70 units is clearly shown. The third parameter is between 120 and 210 ms, and here, the exceeding of the 180 ms threshold leads to slight latency spikes, however, the system is still in line with the baseline models. The fourth parameter is in ratio units and varies from 0.68 to 0.97, and although the system is almost optimal below the 0.85 threshold, there is a performance rise when the threshold is exceeded. The proposed method in the tabular performance comparison is better than the existing models in terms of aspects such as reduction of computational time, better memory handling, higher feature interaction efficiency, and faster convergence. These findings, along with the proposed framework in ns-3 simulation, not only demonstrate its capability to speed up processing and make efficient use of resources but also to ensure its longevity when operating close to or beyond threshold limits, thus making it a better and more durable option than traditional systems.