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 |