Research Article
Deep Learning-Based Privacy-Preserving Data Transmission Scheme for Clustered IIoT Environment
Table 1
Result analysis of BDL-PPDT technique with existing approaches.
| Packet delivery ratio (%) | IoT sensor nodes | DEEC | PHC | HNS | CHSES | RDAC-BC | BDL-PPDT |
| 100 | 94.74 | 94.57 | 96.80 | 95.48 | 98.11 | 99.72 | 200 | 91.93 | 94.61 | 96.26 | 96.44 | 98.87 | 99.23 | 300 | 92.21 | 94.32 | 95.84 | 96.22 | 97.10 | 98.97 | 400 | 91.86 | 91.89 | 92.53 | 95.88 | 96.50 | 98.84 | 500 | 91.45 | 92.76 | 94.39 | 93.53 | 97.69 | 98.16 |
| Throughput (Mbps) | IoT sensor nodes | DEEC | PHC | HNS | CHSES | RDAC-BC | BDL-PPDT |
| 100 | 69.98 | 84.17 | 88.89 | 88.68 | 98.16 | 99.71 | 200 | 63.40 | 76.46 | 83.26 | 84.32 | 94.27 | 98.42 | 300 | 61.05 | 68.33 | 75.50 | 76.67 | 92.03 | 93.80 | 400 | 54.68 | 60.53 | 68.89 | 71.76 | 88.97 | 91.57 | 500 | 51.48 | 55.31 | 62.24 | 70.42 | 85.05 | 89.72 |
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