Table 9 Comparative baseline performance for Greedy (G) and Greedy+Fallback (G+F) at \(\varvec{\alpha =0.6}\). The table summarizes key discovery metrics—success rate (SR), average hops, visited nodes, and latency (in milliseconds)—across five benchmark datasets. The Greedy+Fallback variant consistently outperforms the standard Greedy approach, yielding 3–5% higher success rates while slightly reducing traversal depth and visited nodes. Latency differences remain marginal (typically \(<3\)%), confirming that the fallback mechanism enhances reliability and coverage without introducing measurable computational overhead. These results substantiate the dual-control design’s ability to improve robustness and maintain real-time performance across heterogeneous SIoT networks.

From: Trust and class aware service discovery with dual control in the social Internet of Things

 

SR(G)

SR(G+F)

Hops(G)

Hops(G+F)

Visited(G)

Visited(G+F)

Latency(G, ms)

Latency(G+F, ms)

EIES

0.870

0.894

3.05

2.97

198.4

191.7

1.08

1.06

C. elegans

0.681

0.713

4.82

4.65

416.5

410.2

1.45

1.41

FB Forum

0.625

0.659

5.10

4.93

562.1

548.4

1.72

1.67

Bitcoin

0.588

0.624

5.70

5.52

647.9

628.3

1.84

1.79

Epinions

0.551

0.582

5.62

5.44

738.4

721.8

2.01

1.95