Figure 1: The basic architecture for IoT sensor data processing, data fusion and data analysis
Resources |
Available |
Techniques |
|||||
CDF 9/7 |
SHPS |
EHPF |
|||||
Available |
Percentage |
Available |
Percentage |
Available |
Percentage |
||
Number of |
15360 |
2164 |
14% |
1185 |
7% |
2023 |
13% |
|
30720 |
1454 |
5% |
828 |
2% |
1294 |
4% |
|
30720 |
3624 |
11% |
1926 |
6% |
3464 |
11% |
|
192 |
15 |
7% |
10 |
5% |
11 |
7% |
Number of IOBs |
448 |
51 |
11% |
43 |
9% |
51 |
11% |
Table 1 : Consumed hardware resources
|
CDF 9/7 |
EHPF |
SHPS |
Maximum frequency (MHZ) |
84.954 |
109.792 |
105.361 |
Used memory (kilooctets) |
330264 |
325848 |
305560 |
Table 2 : The used memory and the estimated work frequency
|
XC4VSX35-10FF668 |
XC5VLX330-2ff1760 |
XC3S1600e-5fg320 |
|||
|
Used |
Percentage |
Used |
Percentage |
Used |
Percentage |
IOS |
59 |
13% |
59 |
4% |
59 |
23% |
Number of slice LUT |
3542 |
23% |
5197 |
2% |
5370 |
36% |
Maximum frequency |
109.792 |
- |
155.457 |
- |
95.955 |
- |
Number of |
2813 |
9% |
- |
- |
9976 |
33% |
DSPs |
10 |
5% |
10 |
5% |
- |
- |
Table 3 : Hardware performance comparison.
Figure 1: The basic architecture for IoT sensor data processing, data fusion and data analysis
Figure 2: Taxonomy of data fusion strategies
Figure 3: Two-level decomposition algorithm for 2-D DWT
Figure 4: The implementation of the 1D-DWT lifting scheme
Figure 5: The schematic of 1-D DWT using lifting scheme for (9, 7) filter
Figure 6: Two-level decomposition algorithm for SHPS technique
Figure 7: Two-level decomposition algorithm for EHPF technique
Figure 8: The block diagram of the proposed 2D-DWT architecture
Figure 9: The block diagram of the proposed SHPS architecture.
Figure 10: The block diagram of the proposed EHPF architecture
Figure 11: 1D-DWT architecture block diagram
Figure 12: Each Lifting Computation's basic architecture
Figure 13: Internal buffers structure for: (a) (9, 7) filter; (b) SHPS technique; (c) EHPF technique
Figure 14: 14: Schematic Diagram of Image Fusion. (a) Image Fusion-based DWT; (b) Image Fusion-based SHPS; (c) Image Fusion-based EHPF
Figure 15: The intelligent monitoring system-based approach
Figure 16: Flowchart of EEWIFT
Figure 17: The block diagram of the proposed EEWIFT
Figure 18: Visual results of fused image. (a) Input source image1 (b) Input source image2 (c) CDF 9/7-based fusion: PSNR= 16.52 dB; (d) EHPF-based fusion: PSNR = 13.88 dB; (e) SHPS-based fusion: PSNR= 12 dB
Figure 19: Power consumption comparison between CDF 9/7 DWT and proposed approaches
Tables at a glance
Figures at a glance