Dynamic load impact on protocols in mesh: An ANOVA test evaluation

This paper takes a deep dive into mesh routing protocols, unraveling how they hold up under the pressures of varying node densities and the hustle and bustle of mobility. This paper included robust and advanced non-parametric statistical tests-think Kruskal-Wallis and Mann-Whitney-to figure out which routing protocol stands out in terms of Quality of Service (QoS) metrics for instance how long it takes a packet to travel end-to-end, the ratio of packets delivered successfully, throughput, and the amount of network overhead. Kicking things off, this study simulated a bunch of mesh environments. It was like setting up different conditions for the protocols to see how well they affect under various conditions. This part was crucial-it gave the work the raw data to put these protocols through their paces. With the Kruskal-Wallis test, this study aims to look for significant differences in how the protocols are performed across different scenarios. Moreover, when it came to the core, the Mann-Whitney test helped us conduct some head-to-head comparisons to spot the top performer under specific conditions. The performance of these protocols can vary wildly depending on how crowded the network is or how fast nodes are moving. The current investigation highlighted which protocols can keep optimal results when things get stable, and which can stay tough when the network feels more like a rollercoaster. This kind of investigation is gold for network designers and operators. Furthermore, this study brings significant attention to using non-parametric statistical methods for this analysis. The usual network parametric techniques often assume everything is normal (statistically) and that the variance is consistent across the board.