Experimental Performance And Statistical Validation Of The IoT-CKS Architecture For Infant Health Monitoring Under Resource-Constrained Network Conditions

Christophe KUNGUNIKO SOLA, José Emmanuel, MATA NTOMBO

Abstract


Background: IoT architectures intended for community health monitoring must remain useful when communication and computing conditions deteriorate. This challenge is particularly relevant in resource-constrained environments where permanent access to remote Cloud services cannot be assumed. Methods: This study evaluates IoT-CKS, a distributed Edge-Fog-Cloud architecture for infant health monitoring. Four progressively constrained scenarios (S1-S4) were simulated. Each scenario was independently executed 30 times, yielding 120 observations. Mean transmission latency, message loss, and message duplication were analyzed using descriptive statistics and inferential procedures including Shapiro-Wilk, Levene, Welch ANOVA, Kruskal-Wallis, effect-size estimation, and supplementary pairwise comparisons. Results: Mean latency increased from 38.378 ms in S1 to 56.829 ms in S2, 112.602 ms in S3, and 223.683 ms in S4. Message loss increased from 0.320% to 6.360%, while duplication remained below 1%, reaching 0.905% in S4. Levene's test indicated variance heterogeneity (F = 36.38, p < 0.001). Welch ANOVA (F(3, 55.71) = 419201.74, p < 0.001) and Kruskal-Wallis (H = 111.57, p < 0.001) confirmed strong inter-scenario differences. Conclusion: The results provide preliminary numerical support for the resilience-oriented design of IoT-CKS. Performance degrades systematically as constraints increase, while local processing, temporary storage, and delayed synchronization provide an architectural basis for preserving essential local functions during temporary Cloud unavailability. These findings constitute simulation-based technical evidence, not clinical validation.

Keywords


Edge Computing; Fog Computing; Internet of Medical Things; IoT-CKS; infant health monitoring; performance evaluation; resilience; resource-constrained environments.

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DOI: http://dx.doi.org/10.52155/ijpsat.v59.1.8679

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