## 4 Experimental Validation  
This section examines the performance of the IMCMR-UWSN technique using contemporary approaches in a variety of contexts. Figure 3 compares the IMCMR-UWSN technique's number of alive nodes (NAN) analysis to previous techniques over several iterations. The experiment was conducted with the 2018a edition of MATLAB testing, which was performed on a 5 th generation, core i5 system with 8 GB RAM. This experimentation was carried out with different grid sizes, which ranged from 500 m to 2000 m. This is also true for the tests. The number of nodes used ranged from 0 to 300, and the range of the nodes' transmission range changed from 25 m to 200 m. Nodes are supposed to stay in the same place or move very slowly because of water flow. The experimental results indicated that the low-energy adaptive clustering hierarchy (LEACH) methodology produced suboptimal outcomes with the smallest possible NAN. Following that, the EGRC approach achieved a somewhat higher NAN value than the LEACH protocol. Accordingly, the forward backward conventional particle swarm optimization (FBCPSO) and FCMMFO approaches resulted in a somewhat closer NAN after numerous cycles. While the EECRP methodology attempted to achieve a reasonable NAN in comparison to the other ways, the disclosed IMCMR-UWSN strategy outperformed them all in terms of NAN. Figure 4 compares the IMCMR-UWSN technique with other strategies in terms of the number of dead nodes (NDN). The graphic demonstrated the LEACH protocol's ineffectiveness in comparison to other approaches with a greater NDN. Additionally, the EGRC approach achieved a somewhat lower NDN concentration than the LEACH protocol. Accordingly, over numerous iterations, the FBCPSO and FCMMPO approaches resulted in a moderately closer NDN. While the EECRP technique achieved a slight advantage in terms of NDN over the other ways, the provided IMCMR-UWSN technique outperformed the previous techniques with the least amount of NDN. Calculate the distance d (ni, CHp, k) between node n\({}_{\text{i}}\) and all CHs, CHp, k for all n\({}_{\text{i}}=1,2,\ldots,\) N.  
Figure 4: NDN analysis of the IMCMR-UWSN technique. Figure 3: NAN analysis of the IMCMR-UWSN technique. Table 2 and Figure 5 illustrate the IMCMR-UWSN technique's named data networking (NDN) analysis using modern techniques. The testing results validated the IMCMR-UWSN technique's increased NLT by extending the rounds of first node death (FND), half node death (HND), and last node death (LND) (LND). In terms of FND, the IMCMR-UWSN approach achieved FND after 698 rounds, whereas the LEACH, EGRC, FBCPSO, FCMMPO, and EECRP strategies achieved FND after 355, 505, 546, 578, and 626 rounds, respectively. Furthermore, when HND is considered, the IMCMR-UWSN technique achieves HND at an increased round count of 875 but the LEACH, EGRC, FBCPSO, FCMMPO, and EECRP procedures achieve HND at reduced round counts of 532, 711, 748, 796, and 837, respectively. Furthermore, when LND is considered, the IMCMR-UWSN technique achieved LND at 698 rounds but the LEACH, EGRC, FBCPSO, FCMMPO, and EECRP techniques reached LND at 643, 799, 876, 896, and 846 rounds, respectively. Figure 6 compares the IMCMR-UWSN approach to various techniques in detail in terms of total energy consumption (TEC). The graphic demonstrated the LEACH protocol's ineffectiveness against other approaches with a maximum TEC. Additionally, the EGRC method achieved a somewhat lower TEC than the LEACH technique. Additionally, the FBCPSO and FCMMPO techniques resulted in a slightly closer TEC across a large number of iterations. However, while the EECRP approach achieved a somewhat higher TEC than the other approaches, the reported IMCMR-UWSN methodology outperformed current techniques with a lower TEC.