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PERFORMANCE VALIDATION

Table of Contents:

In this section, a comprehensive experimental validation of the FC-DR model takes place under diverse ways. Figure 4.3 depicts the energy consumption analysis of the FC-DR method. The figure shows that the FRLDG model has offered maximum energy utilization, but has appeared as an ineffective model. Simultaneously, the MOBFO-EER model has attained slightly higher energy consumption over FRLDG model, but it is not lower than FEEC-IIR model and FC-DR models. On the other hand, the FEEC-IIR model has attained even lower energy consumption over the compared methods. But the presented FC-DR model has attained least energy consumption and appeared as an effective model under varying number of IoT nodes.

Figure 4.4 demonstrates the network existence analysis of the FC-DR method. The figure portrayed that the FRLDG method has provided lower network duration and is represented as worst method. At the same time, the MOBFO-EER approach has accomplished medium network existence than FRLDG method; however, it is not greater than FEEC-IIR and FC-DR methodologies. Besides, the FEEC-IIR scheme has reached slightly better network duration when compared with earlier technologies. However, the projected FC-DR approach has accomplished remarkable network duration and is considered as optimal model under diverse count of IoT nodes.

Figure 4.5 illustrates the PDR analysis of FC-DR approach. The figure represented that the FRLDG framework has provided least PDR and is depicted as worst technique. The MOBFO- EER scheme has reached minimal PDR over FRLDG model; it is not greater than FEEC-IIR and FC-DR technologies. Then, the FEEC-IIR framework has accomplished considerable

Energy consumption analysis of the FC-DR model

FIGURE 4.3 Energy consumption analysis of the FC-DR model.

Network lifetime analysis of the FC-DR model

FIGURE 4.4 Network lifetime analysis of the FC-DR model.

PDR than earlier approaches. Therefore, the proposed FC-DR scheme has achieved higher PDR and demonstrated as effectual technology even under different IoT nodes.

Figure 4.6 illustrates the throughput analysis of the FC-DR technique. The figure implied that the FRLDG method has provided higher throughput and is considered as an ineffective approach. Concurrently, the MOBFO-EER framework has achieved minimum throughput than FRLDG model, but it does not exceed FEEC-IIR and FC-DR approaches. The FEEC-IIR technique has obtained slightly better throughput over the earlier methods. Hence, the projected FC-DR scheme has reached a higher throughput and showcased optimal performance under various numbers of IoT nodes.

PDR analysis of the FC-DR model

FIGURE 4.5 PDR analysis of the FC-DR model.

Throughput analysis of the FC-DR model

FIGURE 4.6 Throughput analysis of the FC-DR model.

Figure 4.7 represents the end-to-end delay analysis of the FC-DR scheme. The figure portrayed that the FRLDG approach has provided greater end-to-end delay and is considered as a worst technology. The MOBFO-EER scheme has reached better end-to-end delay over FRLDG framework, which does not exceed FEEC-IIR and FC-DR frameworks. The FEEC-IIR method has minimum end-to-end delay than the traditional models. Thus, the projected FC-DR approach has reached lower end-to-end delay and is shown as a best model under distinct number of IoT nodes.

End-to-end delay analysis of the FC-DR model

FIGURE 4.7 End-to-end delay analysis of the FC-DR model.

CONCLUSION

This chapter has developed an energy-efficient FC-DR model for WSN-assisted IoT system. The proposed FC-DR method operates on three major stages: FC-based node clustering, data collection, and EBLC technique-based data aggregation. Initially, the IoT sensor nodes perform FC process to select CFls and organize clusters. In the second level, the CMs observe the environment and forward the data to the CH. Finally, in the third level, the CHs perform data aggregation using EBLC technique. The experimental results denoted that the FC-DR model has shown superior performance by attaining maximum energy efficiency and network lifetime. In future, the performance of the FC-DR can be further improved using routing techniques.

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